Identifying and visualising multimorbidity and comorbidity patterns in 4 million patients in the National Health Service
This repository contains the source code for the following interactive R Shiny apps for exploring the underlying data and our findings:
- The Multimorbidity Frequency App (MFA) tabulates the most common disease triads.
- The Comorbidity Frequency App (CFA) plots and tabulates the most common comorbidities for an index condition.
- The Multimorbidity Network App (MNA) plots non-random associations for 308 health conditions.
- The Comorbidity Network App (CNA) plots non-random associations for an index condition.
Human-friendly versions of disease EHR phenotype can be browsed on the HDR UK Phenotype Library.
Machine readable versions of the EHR phenotyping algorithms are available in our repository.
More details on the phenotyping apporach can be found in: Kuan V. et. al. Lancet Digit Health. 2019 May 20;1(2):e63-e77. doi: 10.1016/S2589-7500(19)30012-3