Health and Social Care Modelling

Nazyrova, N., Chahed, S., Dwek, M., Getting, S. and Chaussalet, T. 2023. Discovering Drug-Drug Interactions Using Association Rule Mining from Electronic Health Records. The 17th International Conference on Innovations in Intelligent Systems and Applications. Hammamet, Tunisia 20 - 23 Sep 2023 IEEE . https://doi.org/10.1109/inista59065.2023.10310637

Radhakrishnan Sujatha, Jyotir Moy Chatterjee, Angelopoulou, A., Kapetanios, E., Parvathaneni Naga Srinivasu and Duraisamy Jude Hemanth 2023. A transfer learning-based system for grading breast invasive ductal carcinoma. IET Image Processing. 17 (7), pp. 1979-1990. https://doi.org/10.1049/ipr2.12660

Al Batat, R., Angelopoulou, A., Premkumar, S., Hemanth, J. and Kapetanios, D.E. 2022. An End-to-End Automated License Plate Recognition System Using YOLO Based Vehicle and License Plate Detection with Vehicle Classification. Sensors. 22 9477. https://doi.org/10.3390/s22239477

Mohammad Harris, Hongwei Wu, Wenbin Zhang and Angelopoulou, A. 2022. Overview of Recent Trends in Microchannels for Heat Transfer and Thermal Management Applications. Chemical Engineering and Processing - Process Intensification. 181 109155. https://doi.org/10.1016/j.cep.2022.109155

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

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

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

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

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

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

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

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

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

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

T. Cui, R. Bai, S. Ding, A. Parkes, R. Qu, He, F. and J. Li 2020. A Hybrid Combinatorial Approach to a Two-Stage Stochastic Portfolio Optimization Model with Uncertain Asset Prices. Soft Computing. 24, pp. 2809-2831. https://doi.org/10.1007/s00500-019-04517-y

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

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

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

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

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

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

Agrawal, U., Soria, D., Wagner, C., Garibaldi, J.M., Ellis, I.O., Bartlett, J.M.S., Cameron, D., Rakha, E.A. and Green, A.R. 2019. Combining Clustering and Classification Ensembles: A Novel Pipeline to Identify Breast Cancer Profiles. Artificial Intelligence in Medicine. 97, pp. 27-37. https://doi.org/10.1016/j.artmed.2019.05.002

Agrawal, U., Wagner, C., Garibaldi, J.M. and Soria, D. 2019. Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures. International Conference on Fuzzy Systems (FUZZ-IEEE 2019). 23 - 26 Jun 2019 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2019.8858821

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

El Ansari, R., Craze, M.L., Alfarsi, L., Soria, D., Diez-Rodriguez, M., Nolan, C.C., Ellis, I.O., Rakha, E.A. and Green, A.R. 2019. The combined expression of solute carriers is associated with a poor prognosis in highly proliferative ER+ breast cancer. Breast Cancer Research and Treatment. 175 (1), pp. 27-38. https://doi.org/10.1007/s10549-018-05111-w

Figueredo, G.P., Agrawal, U., Mase, J.M.M., Mesgarpour, M., Wagner, C., Soria, D., Garibaldi, J.M., Siebers, P.O. and John, R.I. 2019. Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems. 20 (9), pp. 3324-3336. https://doi.org/10.1109/TITS.2018.2875343

Liu, J., Xu, B., Zheng, C., Gong, Y., Garibaldi, J.M., Soria, D., Green, A., Ellis, I.O., Zou, W. and Qiu, G. 2019. An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. IEEE Transactions on Medical Imaging. 38 (2), pp. 617-628. https://doi.org/10.1109/TMI.2018.2868333

Razak, T.R., Garibaldi, J.M., Wagner, C., Pourabdollah, A. and Soria, D. 2018. Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study. 2018 IEEE Symposium Series on Computational Intelligence. Bengaluru, India 18 - 21 Nov 2018 IEEE . https://doi.org/10.1109/SSCI.2018.8628924

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

Agrawal, U., Pinar, A.J., Wagner, C., Havens, T.C., Soria, D. and Garibaldi, J.M. 2018. Comparison of Fuzzy Integral-Fuzzy Measure based Ensemble Algorithms with the State-of-the-art Ensemble Algorithms. Medina, J., Ojeda-Aciego, M., Verdegay, J.L., Perfilieva, I., Bouchon-Meunier, B. and Yager, R.R. (ed.) 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Cadiz, Spain 11 - 15 Jun 2018 Springer. https://doi.org/10.1007/978-3-319-91479-4

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

Liu, J.-F., Dineen, R.A., Avula, S., Chambers, T., Dutta, M., Jaspan, T., MacArthur, D.C., Howarth, S., Soria, D., Quinlan, P., Harave, S., Ong, C.C., Mallucci, C.L., Kumar, R., Pizer, B. and Walker, D.A. 2018. Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndrome. British Journal of Neurosurgery. 32 (1), pp. 18-27. https://doi.org/10.1080/02688697.2018.1431204

Salem, H., Caddeo, G., McFarlane, J., Patel, K., Cochrane, L., Soria, D., Henley, M. and Lund, J. 2018. A multicentre integration of a computer-led follow-up of prostate cancer is valid and safe. BJU international. 122 (3), pp. 418-426 BJU14157. https://doi.org/10.1111/bju.14157

Craze, M.L., Cheung, H., Jewa, N., Coimbra, N.D.M., Soria, D., El-Ansari, R., Aleskandarany, M.A., Cheng, K.W., Diez-Rodriguez, M., Nolan, C.C., Ellis, I.O., Rakha, E. and Green, A.R. 2018. MYC regulation of Glutamine-Proline regulatory axis is key in Luminal B breast cancer. British Journal of Cancer. 118 (2), pp. 258-265. https://doi.org/10.1038/bjc.2017.387

Ribagin, S., Chountas, P. and Pencheva, T. 2017. Generalized Net Model of Muscle Pain Diagnosing. Christiansen, H., Jaudoin, H., Chountas, P., Andreasen, T. and Legind Larsen, H. (ed.) 12th International Conference, FQAS 2017. London, UK 21 - 22 Jun 2017 Springer. https://doi.org/10.1007/978-3-319-59692-1_24

Roeva, O., Vassilev, P. and Chountas, P. 2017. Application of Topological Operators over Data from InterCriteria Analysis. Christiansen, H., Jaudoin, H., Chountas, P., Andreasen, T. and Legind Larsen, H. (ed.) 12th International Conference, FQAS 2017. London, UK 21 - 22 Jun 2017 Springer. https://doi.org/10.1007/978-3-319-59692-1_19

Christiansen, H., Jaudoin, H., Chountas, P., Andreasen, T. and Larsen, H.L. (ed.) 2017. Flexible Query Answering Systems: 12th International Conference, FQAS 2017, London, UK, June 21–22, 2017, Proceedings. Berlin, Heidelberg Springer.

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

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

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