Health and Social Care Modelling

Group leaderProf Thierry Chaussalet
Web address (URL)http://www.healthcareanalytics.co.uk
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Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases

Journal article

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

Measuring and modelling occupancy time in NHS continuing healthcare

Journal article

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

Modeling and Optimizing Patient Flows

Conference paper

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

Modeling Patient Flows: A Temporal Logic Approach

Journal article

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

Modelling home care organisations from an operations management perspective

Journal article

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

Modelling the Home Health Care Nurse Scheduling Problem for Patients with Long-Term Conditions in the UK

Conference paper

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

MYC regulation of Glutamine-Proline regulatory axis is key in Luminal B breast cancer

Journal article

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

Overview of Recent Trends in Microchannels for Heat Transfer and Thermal Management Applications

Journal article

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

Predictive Risk Modelling for Integrated Care: a Structured Review

Conference paper

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

Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data

Conference paper

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

Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation

Conference paper

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

Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A Tool for Comorbidity Risk Assessment

Journal article

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

The Anti-Cancer Drug Supply Chain: A Coupled Production-Distribution Problem

Journal article

Chahed, S., Feillet, D., Sahin, E. and Dallery, Y. 2011. The Anti-Cancer Drug Supply Chain: A Coupled Production-Distribution Problem. Supply Chain Forum: an international journal. 12 (1), pp. 22-30. https://doi.org/10.1080/16258312.2011.11517251

The combined expression of solute carriers is associated with a poor prognosis in highly proliferative ER+ breast cancer

Journal article

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

Towards effective capacity planning in a perinatal network centre

Journal article

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

Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines

Conference paper

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

Validation of a quantifier-based fuzzy classification system for breast cancer patients on external independent cohorts

Conference paper

Soria, D. and Garibaldi, J.M. 2016. Validation of a quantifier-based fuzzy classification system for breast cancer patients on external independent cohorts. IEEE International Conference on Machine Learning and Applications (ICMLA2016). Anaheim, California, USA 18 - 20 Dec 2016 IEEE . https://doi.org/10.1109/ICMLA.2016.0101

WEIGHTBIT: An advancement in wearable technology

Conference paper

Guida, D. and Basukoski, A. 2017. WEIGHTBIT: An advancement in wearable technology. IEEE 30th International Symposium on Computer-Based Medical Systems. Thessaloniki, Greece 22 - 24 Jun 2017 IEEE . https://doi.org/10.1109/CBMS.2017.85


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People


Basukoski, Artie

Assistant Head of School


Chahed, Salma

Senior Lecturer


Chishti, Irfan

PTVL - DCDI


Chountas, Panagiotis

Principal Lecturer


He, Fang

Senior Lecturer