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King’s People

Dr Vasa Curcin

Academics
Supervisors

Head of Department, Population Health Sciences

Reader in Health Informatics. School Academic Lead (Postgraduate Research).

Contact details

Biography

About

Dr Vasa Curcin is a Reader 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

Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
Ford, E., Edelman, N., Somers, L., Shrewsbury, D., Lopez Levy, M., van Marwijk, H., Curcin, V. & Porat, T., Dec 2021, In: BMC medical informatics and decision making. 21, 1, 193. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1186/s12911-021-01557-z
IT Evaluation of Foundation Healthcare Group NHS Vanguard programme: IT simultaneously an enabler and a rate limiting factor
Tapuria, A., Kordowicz, M., Ashworth, M., Ferlie, E., Curcin, V., Koleva-Kolarova, R., Fox-Rushby, J., Edwards, S., Crilly, T. & Wolfe, C., 26 Nov 2021, (E-pub ahead of print) In: Informatics for Health and Social Care. p. 1-9 Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1080/17538157.2021.2002873
Immediate oral versus immediate topical versus delayed oral antibiotics for children with acute otitis media with discharge: the REST three-arm non-inferiority electronic platform-supported RCT
Hay, A. D., Moore, M. V., Taylor, J., Turner, N., Noble, S., Cabral, C., Horwood, J., Prasad, V., Curtis, K., Delaney, B., Damoiseaux, R., Domínguez, J., Tapuria, A., Harris, S., Little, P., Lovering, A., Morris, R., Rowley, K., Sadoo, A., Schilder, A. & 3 others, Venekamp, R., Wilkes, S. & Curcin, V., 23 Nov 2021, In: Health technology assessment (Winchester, England). 25, 67, p. 1-76 76 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3310/hta25670
A descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London
Snell, L. B., Wang, W., Alcolea-Medina, A., Charalampous, T., Batra, R., de Jongh, L., Higgins, F., Investigators, COG-UK. HOCI., Nebbia, G., Wang, Y., Edgeworth, J. & Curcin, V., 7 Oct 2021, (Accepted/In press) In: BMJ Open. Research output: Contribution to journal › Article › peer-review
Desiderata for the development of next-generation electronic health record phenotype libraries
Chapman, M., Mumtaz, S., Rasmussen, L. V., Karwath, A., Gkoutos, G. V., Gao, C., Thayer, D., Pacheco, J. A., Parkinson, H., Richesson, R. L., Jefferson, E., Denaxas, S. & Curcin, V., 1 Sep 2021, In: Gigascience. 10, 9, giab059. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1093/gigascience/giab059
RISK PREDICTION OF 30-DAY MORTALITY AFTER STROKE USING STATISTICAL MODELS AND MACHINE LEARNING: A NATIONWIDE REGISTRY-BASED COHORT STUDY
Wang, W., Rudd, A., Wang, Y., Curcin, V., Wolfe, C., Peek, N. & Bray, B., 1 Sep 2021, In: European Stroke Journal. 6, Issue 1_suppl, p. 53-54 2 p., O0078/#1175. Research output: Contribution to journal › Meeting abstract › peer-review. DOIs: https://doi.org/10.1177/23969873211034932
RISK PREDICTION OF STROKE ASSOCIATED PNEUMONIA USING ADVANCED STATISTICAL AND MACHINE LEARNING TECHNIQUES: A NATIONWIDE REGISTRY-BASED COHORT STUDY
Wang, W., Rudd, A., Wang, Y., Smith, C., Kishore, A., Curcin, V., Wolfe, C., Peek, N. & Bray, B., 1 Sep 2021, In: European Stroke Journal. 6, Issue 1_suppl, p. 103-103 1 p., O0172/#1179. Research output: Contribution to journal › Meeting abstract › peer-review. DOIs: https://doi.org/10.1177/23969873211034932
Deep learning with anaphora resolution for the detection of tweeters with depression: Algorithm development and validation study
Wongkoblap, A., Vadillo, M. A. & Curcin, V., Aug 2021, In: JMIR Mental Health. 8, 8, e19824. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.2196/19824
Challenges to implementing electronic trial data collection in primary care: a qualitative study
Cabral, C., Curtis, K., Curcin, V., Domínguez, J., Prasad, V., Schilder, A., Turner, N., Wilkes, S., Taylor, J., Gallagher, S., Little, P., Delaney, B., Moore, M., Hay, A. D. & Horwood, J., 6 Jul 2021, In: BMC FAMILY PRACTICE. 22, 1, 147. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.1186/s12875-021-01498-6
IT Evaluation of Foundation Healthcare Group Vanguard Project
Tapuria, A., Kordowicz, M., Ashworth, M., Ferlie, E., Curcin, V., Koleva-Kolarova, R., Fox-Rushby, J., Edwards, S., Crilly, T. & Wolfe, C., 1 Jul 2021, In: Studies in health technology and informatics. 281, p. 625-629 5 p. Research output: Contribution to journal › Article › peer-review. DOIs: https://doi.org/10.3233/SHTI210246

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Bioinformatics

1 December 2021

King's College London joins ELIXIR-UK

By joining the intergovernmental organisation King’s will be more meaningfully involved in…