Group leader | Prof Thierry Chaussalet |
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Web address (URL) | http://www.healthcareanalytics.co.uk |
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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