Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodesResearch in context

Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodesResearch in context

Summary: Background: Knowledge of post-myocardial infarction (MI) disease risk to date is limited—yet the number of survivors of MI has increased dramatically in recent decades. We investigated temporally ordered sequences of all conditions following MI in nationwide electronic health record data t...

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Bibliographic Details
Main Authors: Christopher J. Hayward, Jonathan A. Batty, David R. Westhead, Owen Johnson, Chris P. Gale, Jianhua Wu, Marlous Hall
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:EBioMedicine
Subjects:
Disease trajectories
Multimorbidity
Myocardial infarction
Electronic health records
Process mining
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396423003584

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http://www.sciencedirect.com/science/article/pii/S2352396423003584

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