The project will be led by Dr Poh and contributed by Prof Simon de Lusignan and Dr Tom Chan from the Department of Health Care Management and Policy as co-investigators. The project is expected to start on 1st September 2015 and will last for 3 years.
An overarching objective of this MRC research is to revisit the problem of modelling the progression of Chronic Kidney Disease (CKD) using state-of-the-art machine learning techniques and methodologies. The project will focus on three main research tasks: 1) statistical models that directly predict key clinical variables so that clinicians can make more informed decisions; 2) a method for identifying patient groups by using data-driven methods; 3) a risk model for predicting and detecting Acute Kidney Injury (AKI).
More details about this project can be found at here.