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

Christopher J. Hayward, Jonathan A. Batty, David R. Westhead, Owen Johnson, Chris P. Gale, Jianhua Wu, Marlous Hall – eBioMedicine 2023.

https://doi.org/10.1016/j.ebiom.2023.104792

Online interactive applications

Application 1: Breakdown of disease chapters for post-MI disease trajectories

This application provides a breakdown of the ICD-10 chapters appearing within the discovered post-MI trajectories. A breakdown is provided for each ICD-10 chapter — showing the number of occurrences of the three-character ICD-10 codes — for MI and control cohorts, for each trajectory, for each of our analyses.

Application 2: Post-MI transitions between diagnoses

This application shows the number of individuals that transition between diagnoses, separately for both the MI and control cohorts. Diagnoses are displayed at the ICD-10 chapter and sub-chapter levels. The network for the secondary analyses — which includes both primary and secondary diagnoses — is also available.

Programming code

Link to GitHub repository

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