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King’s People

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

Biography

About

Dr Vasa Curcin is a Professor in Health Informatics at King’s College London and leads the Biomedical Informatics Group, focusing on reproducibility solutions based on data provenance, embedding clinical trials into routine practice, decision support systems as means of implementing Learning Health Systems in practice, and machine learning methods for detecting depression and anxiety disorders from social network behaviours.

Vasa completed his PhD at Imperial College London on semantics of scientific workflow systems. While working as a Bioinformatics Product Manager at InforSense Ltd, the application of his thesis to large real-world patient databases resulted in one of the earliest workflow-based phenotyping tools that has been used in both academic and industrial settings. He was a Farr Future Leader, is the King's lead for Health Data Research UK network’s Phenomics and Clinical Trial Informatics themes. He is a co-director of the DRIVE-Health Centre for Doctoral Training in Data-Driven Health.

Teaching

4CCS1DBT - Database Technologies

Latest publications

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

Female doctor

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…