Research Interests: Cardiac Electrophysiology; Cardiovascular Epidemiology; Data Analytics; Predictive Risk Modelling; Population Health
Biography: Gary's research focuses on the development of predictive risk models for rare and common cardiovascular diseases. He has a joint appointment in two countries, currently serving as Professor of Cardiology in China and Reader in Public Health in the United Kingdom.
Ju, C., Zhou, J., Lee, S., Tan, M.S., Liu, T., Bazoukis, G., Jeevaratnam, K., Chan, E.W.Y., Wong, I.C.K., Wei, L., Zhang, Q.*, Tse, G.* (2021) Derivation of an electronic frailty index for predicting short-term mortality in heart failure: a machine learning approach. ESC Heart Failure. PMID: 34080784. https://doi.org/10.1002/ehf2.13358. Impact factor: 4.411.
Tse, G.*, Zhou, J., Lee, S., Liu, T., Bazoukis, G., Mililis, P., Wong, I.C.K., Chen, C., Xia, Y., Kamakura, T., Aiba, T., Kusano, K., Zhang, Q., Letsas, K.P. (2020) Incorporating latent variables using nonnegative matrix factorization improves risk stratification in Brugada syndrome. Journal of the American Heart Association. e012714. PMID: 33170070. https://doi.org/10.1161/JAHA.119.012714. 5-year impact factor: 5.501.
Zhou, J., Lee, S., Wang, X., Li, Y., Wu, W.K.K., Liu, T., Cao, Z., Zeng, D.D., Leung, K.S.K., Wai, A.K.C., Wong, I.C.K., Cheung, B.M.Y., Zhang, Q.*, Tse, G.* (2021) Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. Nature NPJ Digital Medicine. JCRQ1, Impact factor: 11.653. https://doi.org/10.1038/s41746-021-00433-4.