Project overview
This 3 year project looks at the stats methodology which underpins CPM’s. CPM’s are models or algorithms, which take a collection of a patients characteristics (e.g age, blood pressure, family disease history) and produces an output of the likelihood of an event happening, for example the risk of developing Type 2 diabetes. Current models available are only designed to calculate a patients risk for one particular disease. This project aims to model a whole patient pathway and predict the likelihood of coronary heart disease, atrial fibrillation, stroke, chronic kidney disease and Type 2 diabetes developing for that individual, using one CPM.