ArticleEuropean heart journal. Digital health2026
Machine learning to predict long-term cardiovascular death following myocardial infarction: incremental value of echocardiographic data.
Article in European heart journal. Digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Aims: Machine learning (ML) for prediction of cardiovascular (CV) death following myocardial infarction (MI) has not been well studied. This study sought to define the incremental value of (i) integrating comprehensive echocardiographic data in ML models and (ii) ML approaches over Cox Regression (CPH), for predicting CV death following MI. Methods and results: Retrospective cohort study of consecutive patients with MI admitted at a tertiary referral hospital, with echocardiography performed within 24 h of admission. Models were trained on a cohort admitted between 2013 and 2017 ( Conclusion: ML integration of comprehensive echocardiographic data leads to improved prediction of CV death following MI, with key measures of LV size and systolic and diastolic function contributing substantially to prognostic models.
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