A deep learning approach for length of stay prediction in clinical settings from medical records

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

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

Intrusion Detection and Classification with Autoencoded Deep Neural Network
Rezvy, S, Petridis, M, Lasebae, A and Zebin, T. 2019. Intrusion Detection and Classification with Autoencoded Deep Neural Network. in: Innovative Security Solutions for Information Technology and Communications Springer. pp. 142-156

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

Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks
Zebin, T., Sperrin, M., Peek, N. and Casson, A.J. 2018. Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Honolulu, HI, USA 18 - 21 Jul 2018 IEEE . https://doi.org/10.1109/EMBC.2018.8513115

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

Inertial Sensor Based Modelling of Human Activity Classes: Feature Extraction and Multi-sensor Data Fusion Using Machine Learning Algorithms
Zebin, T., Scully, PJ and Ozanyan, K B. 2017. Inertial Sensor Based Modelling of Human Activity Classes: Feature Extraction and Multi-sensor Data Fusion Using Machine Learning Algorithms. in: eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Springer. pp. 306-314

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

Human activity recognition with inertial sensors using a deep learning approach
Zebin, T., Scully, P.J. and Ozanyan, K.B. 2016. Human activity recognition with inertial sensors using a deep learning approach. 2016 IEEE SENSORS. Orlando, FL, USA 30 Oct - 03 Nov 2016 IEEE . https://doi.org/10.1109/ICSENS.2016.7808590

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

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 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

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

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

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

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

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

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

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

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.

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.

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

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.

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

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

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

Editorial: Modelling the process of care
Chaussalet, T.J. and El-Darzi, E. 2001. Editorial: Modelling the process of care. Health Care Management Science. 4 (1), p. 5. https://doi.org/10.1023/A:1009659711914