Professor Vasa Curcin Academics Supervisors School Academic Lead (Postgraduate Research) Joint Head of Department, Population Health Sciences. Research subject areas Biomedical and life sciences Contact details vasa.curcin@kcl.ac.uk +44 (0)20 7848 1579 @VasaCurcin
Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art Ferrari, D., Guidetti, V., Wang, Y. & Curcin, V., 1 Dec 2022, AMIA 2022 Annual Symposium, November 2022, Washington, D.C.. American Medical Informatics Association ( AMIA ) Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review Real-world effectiveness of steroids in severe COVID-19: a retrospective cohort study Wang, W., Snell, L. B., Ferrari, D., Goodman, A., Price, N. M., Wolfe, C., Curcin, V., Edgeworth, J. & Wang, Y., 5 Oct 2022, In: BMC infectious diseases. 22, 776. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1186/s12879-022-07750-3 Correction: Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study (BMC Neurology, (2022), 22, 1, (195), 10.1186/s12883-022-02722-1) Wang, W., Rudd, A. G., Wang, Y., Curcin, V., Wolfe, C. D., Peek, N. & Bray, B., 25 Aug 2022, In: BMC Neurology. 22, 1, 319. Research output: Contribution to journal › Comment/debate › peer-review. DOIs: https://doi.org/10.1186/s12883-022-02840-w Differences in Clinical Presentation With Long COVID After Community and Hospital Infection and Associations With All-Cause Mortality: English Sentinel Network Database Study Meza-Torres, B., Delanerolle, G., Okusi, C., Mayor, N., Anand, S., Macartney, J., Gatenby, P., Glampson, B., Chapman, M., Curcin, V., Mayer, E., Joy, M., Greenhalgh, T., Delaney, B. & de Lusignan, S., 16 Aug 2022, In: JMIR Public Health and Surveillance. 8, 8, p. e37668 Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.2196/37668 Developing a Long COVID Phenotype for Postacute COVID-19 in a National Primary Care Sentinel Cohort: Observational Retrospective Database Analysis Mayor, N., Meza-Torres, B., Okusi, C., Delanerolle, G., Chapman, M., Wang, W., Anand, S., Feher, M., Macartney, J., Byford, R., Joy, M., Gatenby, P., Curcin, V., Greenhalgh, T., Delaney, B. & de Lusignan, S., 11 Aug 2022, In: JMIR Public Health and Surveillance. 8, 8, e36989. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.2196/36989 Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis CovidRetro collaboration, 12 Jul 2022, In: BMJ (Clinical research ed.). 378, p. e069881 e069881. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1136/bmj-2021-069881 What factors influence differential uptake of NHS Health Checks, diabetes and hypertension reviews among women in ethnically diverse South London? Cross-sectional analysis of 63,000 primary care records Molokhia, M., Ayis, S., Karamanos, A., L'Esperance, V., Yousif, S., Durbaba, S., Ćurčin, V., Ashworth, M. & Harding, S., Jul 2022, In: EClinicalMedicine. 49, 101471. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1016/j.eclinm.2022.101471 Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study Wang, W., Rudd, A., Wang, Y., Curcin, V., Wolfe, C., Peek, N. & Bray, B., 27 May 2022, In: BMC Neurology. 22, 1, 195. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1186/s12883-022-02722-1 LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION): protocol for a mixed-methods study in the UK LOCOMOTION consortium, 17 May 2022, In: BMJ Open. 12, 5, p. e063505 Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1136/bmjopen-2022-063505 The relationship of socio-demographic factors and patient attitudes to connected health technologies: a survey of stroke survivors Drake, A., Sassoon, I., Balatsoukas, P., Porat, T., Ashworth, M., Wright, E., Curcin, V., Chapman, M., Kokciyan, N., Modgil, S., Sklar, E. & Parsons, S., Apr 2022, In: Health Informatics Journal. 28, 2 Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1177/14604582221102373 View all publications
27 May 2022 Patient-level factors predominantly influence women's uptake of GP health checks Non-uptake of health checks amongst women in ethnically diverse South London are more likely to…