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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

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

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

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

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

Chahed, S., Marcon, E., Sahin, E., Feillet, D. and Dallery, Y. 2009. Exploring new operational research opportunities within the Home Care context: the chemotherapy at home. Health Care Management Science. 12 (2), pp. 179-191. https://doi.org/10.1007/s10729-009-9099-6

Matta, A., Chahed, S., Sahin, E. and Dallery, Y. 2014. Modelling home care organisations from an operations management perspective. Flexible Services and Manufacturing Journal. 26 (3), pp. 295-319. https://doi.org/10.1007/s10696-012-9157-0

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

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

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

Dalton, S. 2018. Modelling the Perinatal Network System. PhD thesis University of Westminster Computer Science https://doi.org/10.34737/q559v

Islam, M.S. 2014. Modelling the impact of climate change on health. PhD thesis University of Westminster Faculty of Science and Technology https://doi.org/10.34737/8yqvv

Worrall, P. 2015. Modelling the Demand for Long-term Care to Optimise Local Level Planning. PhD thesis University of Westminster Computer Science https://doi.org/10.34737/q2z96

Mesgarpour, M. 2017. Predictive Risk Modelling of Hospital Emergency Readmission, and Temporal Comorbidity Index Modelling Using Machine Learning Methods. PhD thesis University of Westminster Computer Science https://doi.org/10.34737/q3031