Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context

Objective 1

Examining the Clustering of MLTCs in individuals

Treating a patient with one long-term condition (LTC) is generally simpler than treating a patient with many. Multiple long term conditions (MLTCs) can involve managing numerous symptoms, treatments, prescriptions and side-effects. To deal with MLTCs more effectively, our first objective aims to create a picture of the most common combinations of long-term conditions across the United Kingdom. We will be using data from the Clinical Practice Research Datalink (CPRD), a government funded organisation that holds information from thousands of General Practices, and other linked sources such as cancer registers, death registration data, and Accident and Emergency data. Objective 1 will develop several data analysis methods to find groups or ‘clusters’ of individuals with similar long-term conditions within the CPRD dataset. Checking that our methods produce valid results is a crucial part of this objective. The results will then be fed into the other objectives.


Artificial Intelligence