Network of post-MI disease transitions

Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes

Christopher James Hayward; Jonathan A Batty; Owen Johnson; David Westhead; Chris P Gale; Jianhua Wu; Marlous Hall

About

This is an interactive application showing the long-term conditions which develop amongst individuals following a heart attack. The high-resolution data-driven model uses 145 million hospitalisation records in England over a decade to help better understand the patterns and likelihood of multiple long-term health conditions for survivors of a heart attack. Directed edges between ICD-10 chapter headings represent progression from one diagnosis to the next. Edge colours and widths are proportional to the number of individuals that progress between diagnoses. Disease trajectories from all individuals within the MI cohort (n=375,669) and matched control cohort (n=1,878,345) are used to construct the networks.

How to use

In 'Options', specify what data to view (e.g. which cohort: MI or matched Control).
Using the mouse pointer, hover over the connections to show the number of individuals that progress from one diagnosis to the next.
Click on a chapter/sub-chapter to view the connected chapters/sub-chapters.
Rearrange the network by clicking and dragging chapters with the mouse.
Zoom in and out using the mouse wheel.

Network data (JSON format)

Below is the data used to construct the network. This can be copied and saved in a file and used by other visualisation software.