The Healthcare Analytics and Clinical Informatics Group is an active, international research laboratory with members from different disciplines, including data science, engineering, epidemiology, nursing, pharmacy, public health, medicine, physiotherapy and statistics. The Group’s local Principal Investigator (PI) is Dr. Gary Tse, who is based at the Kent and Medway Medical School. We work with PIs and investigators from more than 20 countries, which allows us to conduct impactful, large-scale multi-national population-based studies.
Our strategic priority is risk prediction in cardiovascular diseases and communicable diseases that are of public health importance worldwide, focusing on their aetiologies, consequences, prevention and treatment.
Our team has extensive experience in healthcare analytics, with a focus on utilising healthcare data from global health systems and in developing predictive risk models using cutting-edge artificial intelligence approaches.
In particular, we have expertise in:
- biostatistics and epidemiology, including but not limited to: regression (Cox, logistic, Poisson, negative binomial, zero-inflated and truncated), generalised linear models and generalised estimating equations, multivariate analysis (cluster, discriminate, nonnegative matrix factorisation, principal component analysis)
- estimation of treatment effects (application of propensity score-based methods) and Mendelian randomisation to make inferences about the causal relationships between risk variables and disease onset or outcomes
- development of machine learning-based models (e.g. random survival forest, Ada boost classifier, Gaussian naïve Bayes, light gradient boosting machine, random forest classifier, gradient boosting classifier and decision tree classifier, and various deep learning approaches) for clinical applications.
