Editorial: Modelling the process of care

Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams
Hajmohammed, M., Chountas, Panagiotis and Chaussalet, Thierry J. 2024. Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams. 2024 IEEE 12th International Conference on Intelligent Systems (IS). Varna, Bulgaria 29 - 31 Aug 2024 IEEE . pp. 1-5 https://doi.org/10.1109/is61756.2024.10705246

A Concept Drift Based Approach To Evaluating Model Performance And Theoretical Lifespan
Hajmohammed, Mustafa, Chountas, Panagiotis and Chaussalet, Thierry J. 2024. A Concept Drift Based Approach To Evaluating Model Performance And Theoretical Lifespan. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). London, United Kingdom 15 - 18 Jul 2024 IEEE . pp. 1-6 https://doi.org/10.1109/icprs62101.2024.10677806

Fuzzy Fractional Brownian Motion: Review and Extension
Georgy Urumov, Panagiotis Chountas and Thierry Chaussalet 2024. Fuzzy Fractional Brownian Motion: Review and Extension. Algorithms. 17 (7) 289. https://doi.org/10.3390/a17070289

Preprint: Fuzzy Fractional Brownian Motion: Review and Extension
Georgy Urumov, Panagiotis Chountas and Thierry Chaussalet 2024. Preprint: Fuzzy Fractional Brownian Motion: Review and Extension. Preprints.org. https://doi.org/10.20944/preprints202405.2078.v1

Leveraging large language models for medical text classification: a hospital readmission prediction case
Nazyrova, Nodira, Chahed, Salma, Chausalet, Thierry and Dwek, Miriam 2024. Leveraging large language models for medical text classification: a hospital readmission prediction case. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). London, United Kingdom 15 - 18 Jul 2024 IEEE . https://doi.org/10.1109/icprs62101.2024.10677826

Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study
Dianati-Nasab, Mostafa, Salimifard, Khodakaram, Mohammadi, Reza, Saadatmand, Sara, Fararouei, Mohammad, Hosseini, Kosar S., Jiavid-Sharifi, Behshid, Chaussalet, Thierry and Dehdar, Samira 2024. Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study. Frontiers in Oncology. 13 1276232. https://doi.org/10.3389/fonc.2023.1276232

A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining
Kandasamy, Nichalini, Chaussalet, Thierry and Basukoski, Artie 2023. A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining. in: Healthcare Transformation with Informatics and Artificial Intelligence IOS Press. pp. 190-193

Discovering Process Models from Patient Notes
Banziger, R.B., Basukoski, A. and Chaussalet, T.J. 2023. Discovering Process Models from Patient Notes. 23rd International Conference on Computational Science (ICCS-23). Prague 03 - 05 Jul 2023 Springer. https://doi.org/10.1007/978-3-031-36024-4_18

Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence.
Vali, Masoumeh, Salimifard, Khodakaram, Gandomi, Amir H and Chaussalet, Thierry J 2022. Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence. Computers & industrial engineering. 172, p. 108603. https://doi.org/10.1016/j.cie.2022.108603

Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining
Vali, M., Salimifard, K., Gandomi, A.H. and Chaussalet, T.J. 2022. Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining. Annals of Operations Research. 318, pp. 685-712. https://doi.org/10.1007/s10479-022-04831-z

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort.
Aldraimli, Mahmoud, Osman, Sarah, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila E A, Soria, Daniele, Dwek, Miriam V, Aguado-Barrera, Miguel E, Azria, David, Chang-Claude, Jenny, Dunning, Alison, Giraldo, Alexandra, Green, Sheryl, Gutiérrez-Enríquez, Sara, Herskind, Carsten, van Hulle, Hans, Lambrecht, Maarten, Lozza, Laura, Rancati, Tiziana, Reyes, Victoria, Rosenstein, Barry S, de Ruysscher, Dirk, de Santis, Maria C, Seibold, Petra, Sperk, Elena, Symonds, R Paul, Stobart, Hilary, Taboada-Valadares, Begoña, Talbot, Christopher J, Vakaet, Vincent J L, Vega, Ana, Veldeman, Liv, Veldwijk, Marlon R, Webb, Adam, Weltens, Caroline, West, Catharine M, Chaussalet, Thierry J, Rattay, Tim and REQUITE consortium 2022. Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort. Advances in radiation oncology. 7 (3) 100890. https://doi.org/10.1016/j.adro.2021.100890

Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model
Dilna, K.T., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_5

Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation
Smera Premkumar, K., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_15

Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach
Nazyrova, N., Chaussalet, T.J. and Chahed, S. 2022. Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_12

Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines
Surendran, R., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08754-7_6

A Conceptual Framework to Predict Mental Health Patients' Zoning Classification.
Pandey, Sanjib Raj, Smith, Alan, Gall, Edmund Nigel, Bhatnagar, Ajay and Chaussalet, Thierry 2022. A Conceptual Framework to Predict Mental Health Patients' Zoning Classification. Studies in Health Technology and Informatics. 289, pp. 321-324. https://doi.org/10.3233/SHTI210924

A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit
Aldraimli, M., Nazyrova, N., Djumanov, A., Sobirov, I. and Chaussalet, T.J. 2022. A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit . Sotirov, S.S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E. and Staneva, G. (ed.) International Symposium on Bioinformatics and Biomedicine. Burgas, Bulgaria 08 - 10 Oct 2020 Springer. https://doi.org/10.1007/978-3-030-96638-6_2

Comparative analysis of clustering-based remaining-time predictive process monitoring approaches
Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2022. Comparative analysis of clustering-based remaining-time predictive process monitoring approaches. International Journal of Business Process Integration and Management. 10 (3/4), pp. 230-241. https://doi.org/10.1504/IJBPIM.2021.124023

A Data Science Approach for Early-Stage Prediction of Patient’s Susceptibility to Acute Side Effects of Advanced Radiotherapy
Aldraimli, M., Soria, D., Grishchuck, D., Ingram, S., Lyon, R., Mistry, A., Oliveira, J., Samuel, R., Shelley, L.E.A., Osman, S., Dwek, M., Azria, D., Chang-Claude, J., Gutiérrez-Enríquez, S., De Santis, M.C., Rosenstein, B.S., De Ruysscher, D., Sperk, E., Symonds, R.P., Stobart, H., Vega, A., Veldeman, L., Webb, A, Christopher, J.T., West, C.M., Rattay, T., REQUITE consortium and Chaussalet, T.J. 2021. A Data Science Approach for Early-Stage Prediction of Patient’s Susceptibility to Acute Side Effects of Advanced Radiotherapy. Computers in Biology and Medicine. 135 104624. https://doi.org/10.1016/j.compbiomed.2021.104624

Incorporating spatial context into remaining-time predictive process monitoring
Ogunbiyi, Niyi, Basukoski, Artie and Chaussalet, Thierry 2021. Incorporating spatial context into remaining-time predictive process monitoring. 36th Annual ACM Symposium on Applied Computing. Virtual Event Republic of Korea 22 - 26 Mar 2021 ACM. https://doi.org/10.1145/3412841.3441933

An Exploration of Ethical Decision Making with Intelligence Augmentation
Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2021. An Exploration of Ethical Decision Making with Intelligence Augmentation. Social Sciences. 10 (2) 57. https://doi.org/10.3390/socsci10020057

Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis
Vali, M., Salimifard, K. and Chaussalet, T. 2021. Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis. in: Masmoudi M., Jarboui B. and Siarry P. (ed.) Operations Research and Simulation in Healthcare Springer. pp. 193-207

Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach
Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2020. Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach. Information. 12 (1) 11. https://doi.org/10.3390/info12010011

Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring—A Survival Analysis Approach
Ogunbiyi, N., Basukoski, A. and Chaussalet, T.J. 2020. Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring—A Survival Analysis Approach. Algorithms. 13 (11), p. e267. https://doi.org/10.3390/a13110267

Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases
Aldraimli, M., Soria, D., Parkinson, J., Thomas, E.L., Bell, J.D., Dwek, M. and Chaussalet, T.J. 2020. Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases. Health and Technology. 10, pp. 925-944. https://doi.org/10.1007/s12553-020-00446-1

Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases
Aldraimli, M., Soria, D., Parkinson, J., Whitcher, B., Thomas, E.L., Bell, J.D., Chaussalet, T.J. and Dwek, M. 2019. Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases. MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing. Coimbra, Portugal 26 - 28 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-31635-8_81

Controlling Understaffing with Conditional Value-at-Risk Constraint for an Integrated Nurse Scheduling Problem under Patient Demand Uncertainty
He, F., Chaussalet, T.J. and Qu, R. 2019. Controlling Understaffing with Conditional Value-at-Risk Constraint for an Integrated Nurse Scheduling Problem under Patient Demand Uncertainty. Operations Research Perspectives. 6 (2019), p. 100119 100119. https://doi.org/10.1016/j.orp.2019.100119

Modelling the Home Health Care Nurse Scheduling Problem for Patients with Long-Term Conditions in the UK
He, F., Chaussalet, T.J. and Qu, R. 2019. Modelling the Home Health Care Nurse Scheduling Problem for Patients with Long-Term Conditions in the UK. 33rd International ECMS Conference on modelling and Simulation. Universita degli Studi della Campania, Caserta, Area of Napoli, Italy 11 - 14 Jun 2019 European Council for Modeling and Simulation. https://doi.org/10.7148/2019-0317

Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records
Zebin, T. and Chaussalet, T.J. 2019. Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology. Certosa di Pontignano, Siena - Tuscany, Italy 09 - 11 Jul 2019 IEEE . https://doi.org/10.1109/CIBCB.2019.8791466

A deep learning approach for length of stay prediction in clinical settings from medical records
Zebin, T., Rezvy, S. and Chaussalet, T.J. 2019. A deep learning approach for length of stay prediction in clinical settings from medical records. 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology. Certosa di Pontignano, Siena - Tuscany, Italy 09 - 11 Jul 2019 IEEE . https://doi.org/10.1109/CIBCB.2019.8791477

Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A Tool for Comorbidity Risk Assessment
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2019. Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A Tool for Comorbidity Risk Assessment. Applied Soft Computing. 79, pp. 163-185. https://doi.org/10.1016/j.asoc.2019.03.015

Transformation of UML Activity Diagram for Enhanced Reasoning
Chishti, I., Basukoski, A., Chaussalet, T.J. and Beeknoo, N. 2018. Transformation of UML Activity Diagram for Enhanced Reasoning. Future Technologies Conference 2018. Vancouver, Canada 13 - 14 Nov 2018 Springer. https://doi.org/10.1007/978-3-030-02683-7_33

Discovering Business Processes in CRM Systems by leveraging unstructured text data
Banziger, R.B., Basukoski, A. and Chaussalet, T.J. 2018. Discovering Business Processes in CRM Systems by leveraging unstructured text data. The 4th IEEE International Conference on Data Science and Systems (DSS-2018). Exeter, UK 28 - 30 Jun 2018 IEEE . https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00257

Modeling Patient Flows: A Temporal Logic Approach
Chishti, I., Basukoski, A. and Chaussalet, T.J. 2018. Modeling Patient Flows: A Temporal Logic Approach. Journal On Computing. 6 (1) 1516. https://doi.org/10.5176/2251-3043_6.1.107

Care Home Quality Scorecard: A scorecard inspired approach to benchmark care home quality
Worrall, P. and Chaussalet, T.J. 2017. Care Home Quality Scorecard: A scorecard inspired approach to benchmark care home quality. Operational Research Applied to Health Services. Bath, UK 24 - 28 Jul 2017

Emergency Readmission for Integrated Care (ERIC) Model: Using an Automated Feature Generation & a Multi-Task Learner
Chaussalet, T.J., Mesgarpour, M., Worrall, P. and Chahed, S. 2017. Emergency Readmission for Integrated Care (ERIC) Model: Using an Automated Feature Generation & a Multi-Task Learner. Operational Research Applied to Health Services 2017. Bath, UK 24 - 28 Jul 2017

Modeling and Optimizing Patient Flows
Chishti, I., Basukoski, A. and Chaussalet, T.J. 2017. Modeling and Optimizing Patient Flows. 8th Annual International Conference on ICT: Big Data, Cloud & Security. Singapore 21 - 22 Aug 2017 Global Science & Technology Forum. https://doi.org/10.5176/2251-2136_ICT-BDCS17.52

Ensemble Risk Model of Emergency Admissions (ERMER)
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2017. Ensemble Risk Model of Emergency Admissions (ERMER). International Journal of Medical Informatics. 103, pp. 65-77. https://doi.org/10.1016/j.ijmedinf.2017.04.010

Towards a threshold climate for emergency lower respiratory hospital admissions
Islam, M.S., Chaussalet, T.J. and Koizumi, N. 2017. Towards a threshold climate for emergency lower respiratory hospital admissions. Environmental Research. 153, pp. 41-47. https://doi.org/10.1016/j.envres.2016.11.011

A general framework for Business Process Modelling (BPM) based on Formal Temporal Theory with an application to Hospital Patient flows
Chishti, I., Chaussalet, T.J. and Basukoski, A. 2016. A general framework for Business Process Modelling (BPM) based on Formal Temporal Theory with an application to Hospital Patient flows. 8th IMA International Conference on Quantitative Modelling in the Management of Health and Social Care. Asia House, London 21 - 23 Mar 2016 Institute of Mathematics and its Applications.

Business Process Modelling based on formal temporal theory with an application to hospital patient flows
Chishti, I., Basukoski, A. and Chaussalet, T.J. 2016. Business Process Modelling based on formal temporal theory with an application to hospital patient flows. 8th IMA International Conference on Quantitative Modelling in the Management of Health and Social Care. Asia House, London 21 - 23 Mar 2016 Institute of Mathematics and its Applications.

Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2016. Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data. IEEE 29th International Symposium on Computer-Based Medical Systems. Dublin and Belfast 20 - 23 Jun 2016 IEEE . https://doi.org/10.1109/CBMS.2016.21

Predictive Risk Modelling for Integrated Care: a Structured Review
Mesgarpour, M., Chaussalet, T.J., Worrall, P. and Chahed, S. 2016. Predictive Risk Modelling for Integrated Care: a Structured Review. IEEE 29th International Symposium on Computer-Based Medical Systems. Dublin and Belfast 20 - 23 Jun 2016 IEEE . https://doi.org/10.1109/CBMS.2016.34

Is the NHS in England too big to fail?
Dalton, S., Chahed, S. and Chaussalet, T.J. 2016. Is the NHS in England too big to fail? 8th Institute of Mathematics and Its Applications. Asia House, London 21 Mar 2016

A structured review of long-term care demand modelling
Worrall, P. and Chaussalet, T.J. 2015. A structured review of long-term care demand modelling. Health Care Management Science. 18 (2), pp. 173-194. https://doi.org/10.1007/s10729-014-9299-6

Improving the NHS demands more than just extra money [Letter]
Young, T., Brailsford, S., Berry, R., Braun, H., Cordeaux, C., Chaussalet, T.J., Davies, K., Debenedetti, L., Farrar, M., Harper, P.R., King, J., Lacey, P., Lyon, J., Marshall, A., McClean, S., McKelvie, D., Pollard, A., Schmidt, P. and Soorapanth, S. 2015. Improving the NHS demands more than just extra money [Letter]. BMJ. 350, p. h3338. https://doi.org/10.1136/bmj.h3338

Toward simulating the english neonatal unit
Dalton, S., Chahed, S. and Chaussalet, T.J. 2015. Toward simulating the english neonatal unit. 27th European Conference on Operational Reasearch (EURO). University of Strathclyde, Glasgow 13 Jul 2015

A review of dynamic Bayesian network techniques with applications in healthcare risk modelling
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2014. A review of dynamic Bayesian network techniques with applications in healthcare risk modelling. 4th Student Conference on Operational Research (SCOR14). Nottingham, UK May 2–4, 2014 Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/OASIcs.SCOR.2014.89

Capacity planning of a perinatal network with generalised loss network model with overflow
Asaduzzaman, M. and Chaussalet, T.J. 2014. Capacity planning of a perinatal network with generalised loss network model with overflow. European Journal of Operational Research. 232 (1), pp. 178-185. https://doi.org/10.1016/j.ejor.2013.06.037

Towards an evidence-based decision making healthcare system management: modelling patient pathways to improve clinical outcomes
Adeyemi, S., Demir, E. and Chaussalet, T.J. 2013. Towards an evidence-based decision making healthcare system management: modelling patient pathways to improve clinical outcomes. Decision Support Systems. 55 (1), pp. 117-125. https://doi.org/10.1016/j.dss.2012.12.039

Healthcare planning and its potential role increasing operational efficiency in the health sector: a viewpoint
Virtue, A., Chaussalet, T.J. and Kelly, J. 2013. Healthcare planning and its potential role increasing operational efficiency in the health sector: a viewpoint. Journal of Enterprise Information Management. 26 (1/2), pp. 8-20. https://doi.org/10.1108/17410391311289523

Overcoming the barriers: a qualitative study of simulation adoption in the NHS
Brailsford, S.C., Bolt, T.B., Bucci, G., Chaussalet, T.J., Connell, N.A.D., Harper, P.R., Klein, J.H., Pitt, M. and Taylor, M. 2013. Overcoming the barriers: a qualitative study of simulation adoption in the NHS. Journal of the Operational Research Society. 64 (2), pp. 157-168. https://doi.org/10.1057/jors.2011.130

Forecasting long-term care demand under incomplete information: a grey modelling approach
Worrall, P. and Chaussalet, T.J. 2012. Forecasting long-term care demand under incomplete information: a grey modelling approach. in: 2012 25th International symposium on computer-based medical systems (CBMS), 20-22 June 2012, Rome, Italy IEEE .

Development of a hybrid grey-fuzzy methodology to forecast future demand for long-term care
Worrall, P. and Chaussalet, T.J. 2012. Development of a hybrid grey-fuzzy methodology to forecast future demand for long-term care. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Healthcare planning: the simulation perspective
Virtue, A., Chaussalet, T.J. and Kelly, J. 2012. Healthcare planning: the simulation perspective. Operational research society simulation workshop 2012 (SW12). Worcestershire, England 27th - 28th March 2012

Intelligent analysis of acute bed overflow in a tertiary hospital in Singapore
Teow, K.L., El-Darzi, E., Foo, C., Jin, X. and Sim, J. 2012. Intelligent analysis of acute bed overflow in a tertiary hospital in Singapore. Journal of Medical Systems. 36 (3), pp. 1873-1882. https://doi.org/10.1007/s10916-010-9646-1

Using data mining and simulation for health system understanding and capacity planning: an application to urgent care
Tadjer, M., Chaussalet, T.J., Fouladinajed, F. and Chahed, S. 2012. Using data mining and simulation for health system understanding and capacity planning: an application to urgent care. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

A risk analysis method for assessing risks based on interval-valued fuzzy number
Rathi, M. and Chaussalet, T.J. 2012. A risk analysis method for assessing risks based on interval-valued fuzzy number. in: 2012 IEEE International conference on computational intelligence and computing research (ICCIC), 18-20 December 2012, Coimbatore, India IEEE .

Predicting hospital resource utilization: a fuzzy regression approach
Rathi, M. and Chaussalet, T.J. 2012. Predicting hospital resource utilization: a fuzzy regression approach. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Nonparametric smoothing of the impact of climate change for some selected diseases: a case study for Greater London
Islam, M., Chaussalet, T.J., Ozkan, N. and Demir, E. 2012. Nonparametric smoothing of the impact of climate change for some selected diseases: a case study for Greater London. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Profiling hospitals based on emergency readmission: a multilevel transition modelling approach
Demir, E., Chaussalet, T.J., Adeyemi, S. and Toffa, S.E. 2012. Profiling hospitals based on emergency readmission: a multilevel transition modelling approach. Computer Methods and Programs in Biomedicine. 108 (2), pp. 487-499. https://doi.org/10.1016/j.cmpb.2011.03.003

A decision support tool for health service re-design
Demir, E., Chahed, S., Chaussalet, T.J., Toffa, S.E. and Fouladinajed, F. 2012. A decision support tool for health service re-design. Journal of Medical Systems. 36 (2), pp. 621-630. https://doi.org/10.1007/s10916-010-9526-8

How to predict high dependency cot demand in upcoming days
Dalton, S., Chahed, S. and Chaussalet, T.J. 2012. How to predict high dependency cot demand in upcoming days. ORAHS 2012 Conference: High Tech Human Touch. University of Twente Enschede, The Netherlands 15-20 July 2012

Capturing the readmission process: focus on time window
Demir, E. and Chaussalet, T.J. 2011. Capturing the readmission process: focus on time window. Journal of Applied Statistics. 38 (5), pp. 951-960. https://doi.org/10.1080/02664761003692415

An overflow loss network model for capacity planning of a perinatal network
Asaduzzaman, M. and Chaussalet, T.J. 2011. An overflow loss network model for capacity planning of a perinatal network. Journal of the Royal Statistical Society: Series A. 174 (2), pp. 403-417. https://doi.org/10.1111/j.1467-985X.2010.00669.x

Towards an optimal purchasing policy for nursing home placements in long-term care
Worrall, P. and Chaussalet, T.J. 2011. Towards an optimal purchasing policy for nursing home placements in long-term care. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University.

Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning
Worrall, P. and Chaussalet, T.J. 2011. Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

A case study using simplified discrete-event simulation models as a tool to reconfigure health care services
Virtue, A., Chaussalet, T.J. and Kelly, J. 2011. A case study using simplified discrete-event simulation models as a tool to reconfigure health care services. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University.

Using simplified discrete-event simulation models for real world health care applications
Virtue, A., Chaussalet, T.J. and Kelly, J. 2011. Using simplified discrete-event simulation models for real world health care applications. in: Jain, S., Creasey, R.R., Himmelspach, J., White, K.P. and Fu, M. (ed.) Proceedings of the 2011 Winter Simulation Conference WSC.

Towards a full implementation of collaborative care plan. OR Informing National Health Policy
Tadjer, M., Chaussalet, T.J., Fouladinejad, F., Chahed, S., Saiyed, S., Redzanovic, S. and Fouladinajed, F. 2011. Towards a full implementation of collaborative care plan. OR Informing National Health Policy. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University.

Data warehousing based architecture for the reporting of the NHS primary care prescribing
Redzanovic, S., Chountas, P., Chaussalet, T.J., Fouladinejad, F., Tadjer, M. and Fouladinajed, F. 2011. Data warehousing based architecture for the reporting of the NHS primary care prescribing. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

Exploring the effect of temperature variations on unplanned asthma admissions
Islam, M.S., Chaussalet, T.J., Balta-Ozkan, N. and Demir, E. 2011. Exploring the effect of temperature variations on unplanned asthma admissions. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University. pp. 74-88

The impact of temperature disparity on emergency readmissions and patient flows
Islam, M.S., Chaussalet, T.J., Balta-Ozkan, N., Chahed, S., Demir, E. and Sarran, C. 2011. The impact of temperature disparity on emergency readmissions and patient flows. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

Modelling high dependency care in the local neonatal unit
Dalton, S. and Chaussalet, T.J. 2011. Modelling high dependency care in the local neonatal unit. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference Cardiff School of Mathematics, Cardiff University.

Nonproportional random effects modelling of a neonatal unit operational patient pathways
Adeyemi, S., Chaussalet, T.J. and Demir, E. 2011. Nonproportional random effects modelling of a neonatal unit operational patient pathways. Statistical Methods and Applications. 20 (4), pp. 507-518. https://doi.org/10.1007/s10260-011-0174-z

Measuring and modelling occupancy time in NHS continuing healthcare
Chahed, S., Demir, E., Chaussalet, T.J., Millard, P.H. and Toffa, S.E. 2011. Measuring and modelling occupancy time in NHS continuing healthcare. BMC Health Services Research. 11 (155), p. 1. https://doi.org/10.1186/1472-6963-11-155

Editorial: IMA Health 2010
Vasilakis, C., Chaussalet, T.J. and Baker, R.D. 2011. Editorial: IMA Health 2010. Health Care Management Science. 14 (3), pp. 213-214. https://doi.org/10.1007/s10729-011-9174-7

A statistical framework for evaluating neural networks to predict recurrent events in breast cancer
Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. 2010. A statistical framework for evaluating neural networks to predict recurrent events in breast cancer. International Journal of General Systems. 39 (5), pp. 471-488. https://doi.org/10.1080/03081079.2010.484282

A loss network model with overflow for capacity planning of a neonatal unit
Asaduzzaman, M., Chaussalet, T.J. and Robertson, N.J. 2010. A loss network model with overflow for capacity planning of a neonatal unit. Annals of Operations Research. 178 (1), pp. 67-76. https://doi.org/10.1007/s10479-009-0548-x

Random effects models for operational patient pathways
Adeyemi, S., Chaussalet, T.J., Xie, H. and Assaduzzman, M. 2010. Random effects models for operational patient pathways. Journal of Applied Statistics. 37 (4), pp. 691-701. https://doi.org/10.1080/02664760902873951

Patient grouping optimization using a hybrid self-organizing map and Gaussian mixture model for length of stay-based clustering system
Gorunescu, F., Belciug, S., El-Darzi, E. and Gorunescu, M. 2010. Patient grouping optimization using a hybrid self-organizing map and Gaussian mixture model for length of stay-based clustering system. in: 5th IEEE International Conference on Intelligent Systems (IS 2010) proceedings IEEE . pp. 173-178

Evaluating alternative surgery plans with discrete-event simulation model
Fei, H., Meskins, N. and El-Darzi, E. 2010. Evaluating alternative surgery plans with discrete-event simulation model. in: 2010 IEEE Workshop on Health Care Management (WHCM), Italy, 18-20 February 2010 IEEE . pp. 1-6

A partially connected neural network-based approach with application to breast cancer detection and recurrence
Belciug, S. and El-Darzi, E. 2010. A partially connected neural network-based approach with application to breast cancer detection and recurrence. in: 5th IEEE International Conference on Intelligent Systems (IS 2010) proceedings IEEE . pp. 191-196

Analysis of variability in neonatal care units: a retrospective analysis
Adeyemi, S., Demir, E., Chahed, S. and Chaussalet, T.J. 2010. Analysis of variability in neonatal care units: a retrospective analysis. in: IEEE Workshop on Health Care Management (WHCM), Venice, 18-20 February 2010 IEEE . pp. 1-6

Towards effective capacity planning in a perinatal network centre
Asaduzzaman, M., Chaussalet, T.J., Adeyemi, S., Chahed, S., Hawdon, J., Wood, D. and Robertson, N.J. 2010. Towards effective capacity planning in a perinatal network centre. Archives of Disease in Childhood. Fetal and Neonatal Edition. 95 (4), pp. F283-F287. https://doi.org/10.1136/adc.2009.161661

Support vector machine learning with an evolutionary engine
Stoean, R., Preuss, M., Stoean, C., El-Darzi, E. and Dumitrescu, D. 2009. Support vector machine learning with an evolutionary engine. Journal of the Operational Research Society. 60 (8), pp. 1116-1122. https://doi.org/10.1057/jors.2008.124

An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy
Stoean, R., Preuss, M., Stoean, C., El-Darzi, E. and Dumitrescu, D. 2009. An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy. in: Abraham, A., Hassanien, A.E., Patrick, S. and Andries, E. (ed.) Foundations of computational intelligence Berlin Heidelberg Springer.

An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy
Stoean, R., Preuss, M., Stoean, C., El-Darzi, E. and Dumitrescu, D. 2009. An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy. in: Hassanien, A.E., Abraham, A., Vasilakos, A.V. and Pedrycz, W. (ed.) Foundations of computational intelligence Berlin Heidelberg Springer.

Using Granular Computing theories for service-oriented systems analysis and design
Huang, W. and El-Darzi, E. 2009. Using Granular Computing theories for service-oriented systems analysis and design. in: IEEE International Conference on Granular Computing (GrC 2009), Nanchang, China, August 17-19, 2009 IEEE . pp. 264-267

Clustering patient length of stay using mixtures of Gaussian models and phase type distributions
Garg, L., McClean, S.I., Meenan, B., El-Darzi, E. and Millard, P.H. 2009. Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. in: Proceedings of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2009) IEEE . pp. 1-7

Performance analysis of ambulatory services using dicrete event simulation
Fei, H., Meskins, N. and El-Darzi, E. 2009. Performance analysis of ambulatory services using dicrete event simulation. in: Proceedings of the International Conference on Industrial Engineering and Systems Management (IESM' 2009), May 13-15, Montreal, Canada WASET.

Length of stay-based clustering methods for patient grouping
El-Darzi, E., Abbi, R., Vasilakis, C., Gorunescu, F., Gorunescu, M. and Millard, P.H. 2009. Length of stay-based clustering methods for patient grouping. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Berlin Heidelberg Springer.

A Grid implementation for profiling hospitals based on patient readmissions
Demir, E., Chaussalet, T.J., Weingarten, N. and Kiss, T. 2009. A Grid implementation for profiling hospitals based on patient readmissions. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Springer.

A systematic approach in defining readmission
Demir, E. and Chaussalet, T.J. 2009. A systematic approach in defining readmission. in: Proceedings of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2009) IEEE . pp. 1-7

The analyses of individual patient pathways: investigating regional variation in COPD readmissions
Adeyemi, S., Chaussalet, T.J., Xie, H. and Asaduzzaman, M. 2009. The analyses of individual patient pathways: investigating regional variation in COPD readmissions. in: Sakalauskas, L., Skiadas, C. and Zavadskas, E.K. (ed.) Proceedings of the 13th International Conference "Applied Stochastic Models and Data Analysis", ASMDA 2009, 30 June – 3 July 2009, Vilnius, Lithuania ASMDA. pp. 316-319

Models for extracting information on patient pathways
Adeyemi, S. and Chaussalet, T.J. 2009. Models for extracting information on patient pathways. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Springer.

Editorial: Applying mathematics to problems in health care: a call to pencils
Utley, M., Chaussalet, T.J. and Baker, R.D. 2009. Editorial: Applying mathematics to problems in health care: a call to pencils. IMA Journal of Management Mathematics. 20 (4), pp. 323-323. https://doi.org/10.1093/imaman/dpn036

Modelling risk of readmission with phase-type distribution and transition models
Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2009. Modelling risk of readmission with phase-type distribution and transition models. IMA Journal of Management Mathematics. 20 (4), pp. 357-367. https://doi.org/10.1093/imaman/dpn032

Emergency readmission criterion: a technique for determining emergency readmission time window
Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2008. Emergency readmission criterion: a technique for determining emergency readmission time window. IEEE Transactions on Information Technology in Biomedicine. 12 (5), pp. 644-649. https://doi.org/10.1109/TITB.2007.911311

A decision support system for measuring and modelling the multi-phase nature of patient flow in hospitals
Vasilakis, C., El-Darzi, E. and Chountas, P. 2008. A decision support system for measuring and modelling the multi-phase nature of patient flow in hospitals. in: Chountas, P., Petrounias, I. and Kacprzyk, J. (ed.) Intelligent techniques and tools for novel system architectures Berlin Heidelberg Springer.

A statistical evaluation of neural computing approaches to predict recurrent events in breast cancer
Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. 2008. A statistical evaluation of neural computing approaches to predict recurrent events in breast cancer. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .

Modelling and performance measure of a perinatal network centre in the United Kingdom
Asaduzzaman, M. and Chaussalet, T.J. 2008. Modelling and performance measure of a perinatal network centre in the United Kingdom. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, IEEE CBMS 2008, Jyväskylä, 17-19 June 2008 Los Alamitos, USA IEEE . pp. 506-511

A random effects sensitivity analysis for patient pathways model
Adeyemi, S. and Chaussalet, T.J. 2008. A random effects sensitivity analysis for patient pathways model. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, IEEE CBMS 2008, Jyväskylä, 17-19 June 2008 Los Alamitos, USA IEEE . pp. 536-538

Length of stay based grouping and classification methodology for modelling patient flow
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. Length of stay based grouping and classification methodology for modelling patient flow. Journal of Operations and Logisitics. 2 (2), pp. 1-9.

A Gaussian mixture model approach to grouping patients according to their hospital length of stay
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. A Gaussian mixture model approach to grouping patients according to their hospital length of stay. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS '08) IEEE . pp. 524-529

Analysis of stopping criteria for the EM algorithm in the context of patient grouping according to length of stay
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. Analysis of stopping criteria for the EM algorithm in the context of patient grouping according to length of stay. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .

Applying data mining algorithms to inpatient dataset with missing values
Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P. and Huang, W. 2008. Applying data mining algorithms to inpatient dataset with missing values. Journal of Enterprise Information Management. 21 (1), pp. 81-92. https://doi.org/10.1108/17410390810842273

Balancing the NHS balanced scorecard!
Patel, B., Chaussalet, T.J. and Millard, P.H. 2008. Balancing the NHS balanced scorecard! European Journal of Operational Research. 185 (3), pp. 905-914. https://doi.org/10.1016/j.ejor.2006.02.056

Editorial: IMA Health 2007
Baker, R.D., Chaussalet, T.J. and Utley, M. 2008. Editorial: IMA Health 2007. Health Care Management Science. 11 (2), pp. 87-88. https://doi.org/10.1007/s10729-008-9065-8

An objective method for bed capacity planning in a hospital department - a comparison with target ratio methods.
Nguyen, J.M., Six, P., Chaussalet, T.J., Antonioli, D., Lombrail, P. and Le Beux, P. 2007. An objective method for bed capacity planning in a hospital department - a comparison with target ratio methods. Methods of Information in Medicine. 46 (4), pp. 399-405. https://doi.org/10.1160/me0385

A semi-open queueing network approach to the analysis of patient flow in healthcare systems
Xie, H., Chaussalet, T.J. and Rees, M. 2007. A semi-open queueing network approach to the analysis of patient flow in healthcare systems. in: Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems. IEEE CBMS 2007, Maribor, Slovenia, 20-22 June 2007 Los Alamitos, USA IEEE . pp. 719-724

Generalized Net Model for Outpatient Care in Bulgaria
Tasseva, V., Peneva, D., Atanassov, K.T., El-Darzi, E., Chountas, P. and Vasilakis, C. 2007. Generalized Net Model for Outpatient Care in Bulgaria. in: Proc of Twentieth IEEE International Symposium on Computer-Based Medical Systems, 2007. CBMS '07. IEEE . pp. 701

Extending the gaia methodology for the design and development of agent-based software systems
Huang, W., El-Darzi, E. and Jin, L. 2007. Extending the gaia methodology for the design and development of agent-based software systems. in: Proceedings of the 31st Annual IEEE International Computer Software and Applications Conference (COMPSAC 2007), Peking (Beijing), China, July 23-27 2007 Los Alamitos, USA IEEE .

Determining readmission time window using mixture of generalised Erlang distribution
Demir, E., Chaussalet, T.J. and Xie, H. 2007. Determining readmission time window using mixture of generalised Erlang distribution. in: Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems. IEEE CBMS 2007, Maribor, Slovenia, 20-22 June 2007 Los Alamitos, USA IEEE . pp. 21-26

Developing an application of an accident and emergency patient simulation modelling using an interactive framework
Codrington-Virtue, A., Chaussalet, T.J., Whittlestone, P. and Kelly, J. 2007. Developing an application of an accident and emergency patient simulation modelling using an interactive framework. in: Brailsford, S. and Harper, P.R. (ed.) Operational research for health policy: making better decisions: proceedings of the 31st Annual Conference of the European Working Group on Operational Research Applied to Health Services Oxford ; New York Peter Lang. pp. 61-76

Patients flow: a mixed-effects modelling approach to predicting discharge probabilities
Adeyemi, S., Chaussalet, T.J., Xie, H. and Millard, P.H. 2007. Patients flow: a mixed-effects modelling approach to predicting discharge probabilities. in: Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems. IEEE CBMS 2007, Maribor, Slovenia, 20-22 June 2007 Los Alamitos, USA IEEE . pp. 725-730

A simple graphical decision aid for the placement of elderly people in long-term care
Xie, H., Chaussalet, T.J., Thompson, W.A. and Millard, P.H. 2007. A simple graphical decision aid for the placement of elderly people in long-term care. Journal of the Operational Research Society. 58 (4), pp. 446-453. https://doi.org/10.1057/palgrave.jors.2602179

The ICMCC second conference on "Medical and Care Compunetics"
Chaussalet, T.J. and Bos, L. 2006. The ICMCC second conference on "Medical and Care Compunetics". International Journal of Medical Informatics. 75 (9), pp. vii-viii. https://doi.org/10.1016/S1386-5056(06)00188-2

A model-based approach to the analysis of patterns of length of stay in institutional long-term care
Xie, H., Chaussalet, T.J. and Millard, P.H. 2006. A model-based approach to the analysis of patterns of length of stay in institutional long-term care. IEEE Transactions on Information Technology in Biomedicine. 10 (3), pp. 512-518. https://doi.org/10.1109/TITB.2005.863820

An OLAP-enabled software environment for modelling patient flow
Vasilakis, C., El-Darzi, E. and Chountas, P. 2006. An OLAP-enabled software environment for modelling patient flow. in: Proceedings of the 3rd International IEEE Conference on Intelligent Systems Los Alamitos, USA IEEE . pp. 261-266

Healthcare data mining: predicting inpatient length of stay
Liu, P., Lei, L., Yin, J., Zhang, W., Naijun, W. and El-Darzi, E. 2006. Healthcare data mining: predicting inpatient length of stay. in: Proceedings of the 3rd International IEEE Conference on Intelligent Systems Los Alamitos, USA IEEE . pp. 832-837

Agent-based models for community care systems analysis and design
Huang, W., El-Darzi, E., Chountas, P. and Liu, P. 2006. Agent-based models for community care systems analysis and design. in: Proceedings of the 3rd IEEE International Conference on Intelligent Systems (IS-2006) Los Alamitos, USA IEEE . pp. 278-283

A method for determining an emergency readmission time window for better patient management
Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2006. A method for determining an emergency readmission time window for better patient management. in: Lee, D.J., Nutter, B., Antani, S., Mitra, S. and Archibald, J. (ed.) Nineteenth IEEE International Symposium on Computer-Based Medical Systems: 22-23 June June 2006, Salt Lake City, Utah. Proceedings Las Alamitos, USA IEEE . pp. 789-793

A system for patient management based discrete-event simulation and hierarchical clustering
Codrington-Virtue, A., Chaussalet, T.J., Millard, P.H., Whittlestone, P. and Kelly, J. 2006. A system for patient management based discrete-event simulation and hierarchical clustering. in: Lee, D.J., Nutter, B., Antani, S., Mitra, S. and Archibald, J. (ed.) Nineteenth IEEE International Symposium on Computer-Based Medical Systems: 22-23 June 2006, Salt Lake City, Utah. Proceedings Las Alamitos, USA IEEE . pp. 800-804

A closed queueing network approach to the analysis of patient flow in health care systems
Chaussalet, T.J., Xie, H. and Millard, P.H. 2006. A closed queueing network approach to the analysis of patient flow in health care systems. Methods of Information in Medicine. 45 (5), pp. 492-497.

A software tool to aid long-term care budget planning at local authority level
Xie, H., Chaussalet, T.J., Toffa, S.E. and Crowther, P. 2006. A software tool to aid long-term care budget planning at local authority level. International Journal of Medical Informatics. 75 (9), pp. 664-670. https://doi.org/10.1016/j.ijmedinf.2006.04.009

Six methodological steps to build medical data warehouses for research
Szirbik, N., Pelletier, C. and Chaussalet, T.J. 2006. Six methodological steps to build medical data warehouses for research. International Journal of Medical Informatics. 75 (9), pp. 683-691. https://doi.org/10.1016/j.ijmedinf.2006.04.003

Length of stay-based patient flow models: recent developments and future directions
Marshall, A.H., Vasilakis, C. and El-Darzi, E. 2005. Length of stay-based patient flow models: recent developments and future directions. Health Care Management Science. 8 (3), pp. 213-220. https://doi.org/10.1007/s10729-005-2012-z

On the use of multi-state multi-census techniques for modelling the survival of elderly people in institutional long-term care
Pelletier, C., Chaussalet, T.J. and Xie, H. 2005. On the use of multi-state multi-census techniques for modelling the survival of elderly people in institutional long-term care. IMA Journal of Management Mathematics. 16 (3), pp. 255-264. https://doi.org/10.1093/imaman/dpi021

A software tool to aid budget planning for long-term care at local authority level
Xie, H., Chaussalet, T.J., Toffa, S.E. and Crowther, P. 2005. A software tool to aid budget planning for long-term care at local authority level. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care
Xie, H., Chaussalet, T.J. and Millard, P.H. 2005. A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care. in: Tsymbal, A. and Cunningham, P. (ed.) Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems: 23-25 June 2005, Dublin, Ireland USA IEEE . pp. 473-478

Generalized net model with intuitionistic fuzzy estimations of the process of obtaining of scientific titles and degrees
Shannon, A., Riecan, B., Langova-Orozova, D., El-Darzi, E., Kerre, E., Sotirova, E., Gorunescu, F., Petrounias, I., Trelewicz, J., Atanassov, K.T., Krawczak, M., Chountas, P., Melo-Pinto, P., Georgiev, P., Kim, T. and Tasseva, V. 2005. Generalized net model with intuitionistic fuzzy estimations of the process of obtaining of scientific titles and degrees. Notes on Intuitionistic Fuzzy Sets. 11, pp. 95-114.

A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks
Revett, K., Gorunescu, F., Gorunescu, M., El-Darzi, E. and Ene, M. 2005. A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks. in: EUROCON 2005: the International Conference on "Computer as a Tool": Belgrade, Serbia and Montenegro, November 21-24 2005 London, UK IEEE .

Intuitionistic fuzzy generalised nets in modelling web usage patterns indentification
Petrounias, I., Tseng, A., Chountas, P., El-Darzi, E. and Kodogiannis, V. 2005. Intuitionistic fuzzy generalised nets in modelling web usage patterns indentification. Notes on Intuitionistic Fuzzy Sets. 11 (4), pp. 123-129.

Crossing heterogeneous information sources for better analysis in long term care for elderly people
Pelletier, C., Szirbik, N. and Chaussalet, T.J. 2005. Crossing heterogeneous information sources for better analysis in long term care for elderly people. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

A feature selection procedure and its application in health care
Liu, P., El-Darzi, E., Vasilakis, C., Chountas, P., Huang, W. and Zhu, J. 2005. A feature selection procedure and its application in health care. Craiova Medical Journal.

An analysis of missing data treatment methods and their application to health care dataset
Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P. and Huang, W. 2005. An analysis of missing data treatment methods and their application to health care dataset. in: Li, X., Wang, S. and Dong, Z.Y. (ed.) Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005: proceedings Berlin, Germany Springer.

A heuristic approach in hepatic cancer diagnosis using a probabilistic neural network-based model
Gorunescu, M., Gorunescu, F., Ene, M. and El-Darzi, E. 2005. A heuristic approach in hepatic cancer diagnosis using a probabilistic neural network-based model. in: Janssen, J. and Lenca, P. (ed.) Applied Stochastic Models and Data Analysis Brest, France ENST Bretagne. pp. 1016-1025

A hybrid approach to cancer classification: rough sets and probabilistic neural networks
Gorunescu, F., Gorunescu, M., El-Darzi, E., Gorunescu, S., Revett, K. and Khan, A. 2005. A hybrid approach to cancer classification: rough sets and probabilistic neural networks. in: The First East European Conference on Health Care Modelling and Computation (HCMC 2005). Craiova, Romania, August 31st - September 2nd, 2005 Craiova, Romania Universitatea din Craiova. pp. 149-159

An evolutionary computational approach to probabilistic neural network with application to hepatic cancer diagnosis
Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. 2005. An evolutionary computational approach to probabilistic neural network with application to hepatic cancer diagnosis. in: Tsymbal, A. and Cunningham, P. (ed.) 18th IEEE Symposium on Computer-Based Medical Systems, 2005: proceedings USA IEEE . pp. 461-466

An interactive framework for developing simulation models of hospital accident and emergency services
Codrington-Virtue, A., Whittlestone, P., Kelly, J. and Chaussalet, T.J. 2005. An interactive framework for developing simulation models of hospital accident and emergency services. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

Representation of factual and temporal unawareness in electronic patient records
Chountas, P., Petrounias, I., El-Darzi, E. and Kodogiannis, V. 2005. Representation of factual and temporal unawareness in electronic patient records. Journal of Computational Methods in Sciences and Engineering. 5 (4), pp. 243-261.

A continuous time Markov model for the length of stay of elderly people in institutional long-term care
Xie, H., Chaussalet, T.J. and Millard, P.H. 2005. A continuous time Markov model for the length of stay of elderly people in institutional long-term care. Journal of the Royal Statistical Society: Series A. 168 (1), pp. 51-61. https://doi.org/10.1111/j.1467-985X.2004.00335.x

A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level
Pelletier, C., Chaussalet, T.J. and Xie, H. 2005. A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level. Journal of the Operational Research Society. 56 (2), pp. 144-152. https://doi.org/10.1057/palgrave.jors.2601892

A data warehouse environment for storing and analyzing simulation output data
Vasilakis, C., El-Darzi, E. and Chountas, P. 2004. A data warehouse environment for storing and analyzing simulation output data. in: Ingalls, R.G., Rossetti, M.D., Smith, J.S. and Peters, B.A. (ed.) Proceedings of the 2004 Winter Simulation Conference USA IEEE .

Comparative analysis of data mining algorithms for predicting inpatient length of stay
Liu, P., El-Darzi, E., Vasilakis, C., Chountas, P., Huang, W. and Lei, L. 2004. Comparative analysis of data mining algorithms for predicting inpatient length of stay. Pacific Asia Conference on Information Systems 2004. Bangkok, Thailand 07-10 Jul 2005

Developing an agent oriented emergency service system with AUML and gaia methodology
Huang, W., El-Darzi, E. and Beer, M.D. 2004. Developing an agent oriented emergency service system with AUML and gaia methodology. in: Proceedings of the International Conference on Computer, Communication and Control Technologies (CCCT '04), University of Texas, U.S.A, August 14-17, 2004 USA IEEE . pp. 244-252

On uncertainty and data-warehouse design
Chountas, P., Petrounias, I., Vasilakis, C., Tseng, A., El-Darzi, E., Atanassov, K.T. and Kodogiannis, V. 2004. On uncertainty and data-warehouse design. in: Yakhno, T. (ed.) Advances in Information Systems: Third International Conference, ADVIS 2004, Izmir, Turkey, October 20-22, 2004: proceedings Berlin, Germany Springer.

Temporality and intuitionistic fuzzy data warehouses
Chountas, P., Petrounias, I., Vasilakis, C., El-Darzi, E., Tseng, A., Kolev, B., Kodogiannis, V. and Georgiev, P. 2004. Temporality and intuitionistic fuzzy data warehouses. Notes in Intuitionistic Fuzzy Sets. 10 (4), pp. 47-55.

Temporality and intuitionistic fuzzy data warehouses
Chountas, P., Petrounias, I., Vasilakis, C. and El-Darzi, E. 2004. Temporality and intuitionistic fuzzy data warehouses. Notes on Intuitionistic Fuzzy Sets. 10 (4), pp. 47-55.

Integrating data on the long-term care for elderly people from heterogeneous sources in support of research
Chaussalet, T.J. and Thompson, W.A. 2004. Integrating data on the long-term care for elderly people from heterogeneous sources in support of research. in: Proceedings of the 10th Mediterranean Conference of the International Federation for Medical and Biological Engineering (MEDICON 2004), Ischia, Italy, 31 Jul - 5 Aug 2004 Ghedimedia.

Data cube modelling and OLAP algebra for hospital length of stay analysis
Vasilakis, C., El-Darzi, E. and Chountas, P. 2003. Data cube modelling and OLAP algebra for hospital length of stay analysis. Craiova Medicala Journal: Proceedings of The 1st MEDINF International Conference on Medical Informatics & Engineering. 5 (3), pp. 509-512.

Representation and modelling of electronic patient records
Sivagurunathan, K., Chountas, P. and El-Darzi, E. 2003. Representation and modelling of electronic patient records. in: Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2003 (ICCMSE 2003): Kastoria, Greece, September 12-16 New Jersey, USA World Scientific Publishing. pp. 598-603

Time for a new approach for reporting herbal medicine adverse events?
Peters, D., Donaldson, J., Chaussalet, T.J., Toffa, S.E., Whitehouse, J., Carroll, D. and Barry, P. 2003. Time for a new approach for reporting herbal medicine adverse events? Journal of Alternative & Complementary Medicine. 9 (5), pp. 607-609.

Modelling survival in long term care of older people
Pelletier, C., Chaussalet, T.J. and Millard, P.H. 2003. Modelling survival in long term care of older people. 1st MEDINF International Conference on Medical Informatics and Engineering (MEDINF 2003). Craiova, Romania 06-09 Oct 2003

Data warehouses-TOLAP-decision making
Chountas, P., Vasilakis, C., El-Darzi, E., Petrounias, I. and Tseng, A. 2003. Data warehouses-TOLAP-decision making. in: IEEE International Conference on Systems, Man and Cybernetics, 2003 USA IEEE .

Modelling decisions of a multidisciplinary panel for admission to long-term care
Xie, H., Chaussalet, T.J., Thompson, W.A. and Millard, P.H. 2002. Modelling decisions of a multidisciplinary panel for admission to long-term care. Health Care Management Science. 5 (4), pp. 291-295. https://doi.org/10.1023/A:1020338308191

Representation of temporal unawareness
Chountas, P., Petrounias, I., Atanassov, K.T., Kodogiannis, V. and El-Darzi, E. 2002. Representation of temporal unawareness. in: Yakhno, T. (ed.) Advances in Information Systems: Second International Conference, ADVIS 2002, Izmir, Turkey, October 23-25 London, UK Springer.

Representation and querying of temporal conflict
Chountas, P., Petrounias, I., Atanassov, K.T., Kodogiannis, V. and El-Darzi, E. 2002. Representation and querying of temporal conflict. in: Troels, A. (ed.) Flexible query answering systems: 5th International Conference, FQAS 2002, Copenhagen, Denmark, October 2002 London, UK Springer.

A simulation study of the winter bed crisis
Vasilakis, C. and El-Darzi, E. 2001. A simulation study of the winter bed crisis. Health Care Management Science. 4 (1), pp. 31-36. https://doi.org/10.1023/A:1009649615548

Data requirements in a model of the natural history of Alzheimer's disease
Chaussalet, T.J. and Thompson, W.A. 2001. Data requirements in a model of the natural history of Alzheimer's disease. Health Care Management Science. 4 (1), pp. 13-19. https://doi.org/10.1023/A:1009689329661

Subgroup analyses of cost of care in a Markov model of the natural history of Alzheimer's disease
Thompson, W.A. and Chaussalet, T.J. 2001. Subgroup analyses of cost of care in a Markov model of the natural history of Alzheimer's disease. in: Simulation in the Health and Medical Sciences 2001: Proceedings of the 2001 Western Multiconference, January 7-11 2001, Phoenix, Arizona California, USA Society for Computer Simulation. pp. 41-44

The LH5 model for data mining
El-Darzi, E. and Parapadakis, D. 2001. The LH5 model for data mining. First International Conference of Electronic Business. Hong Kong 19-21 Dec 2001 pp. 467-478