Development and validation of a machine learning model for prediction of 1-year mortality following ST-elevation myocardial infarction: a retrospective cohort study

Our ML model accurately predicts 1-year mortality in STEMI patients using only five clinical variables. This tool offers improved accuracy and ease of use compared with existing risk stratification methods, potentially enhancing patient stratification and guiding treatment decisions in STEMI management.

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Publication Details

Journal
BMJ Open
Published
2026-02-01
DOI
https://doi.org/10.1136/bmjopen-2025-101656
Primary Topic
Acute Myocardial Infarction Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a machine learning model for prediction of 1-year mortality following ST-elevation myocardial infarction: a retrospective cohort study

Jonathan Ciofani, Harrison Nguyen, H. Sritharan, Ravinay Bhindi
BMJ Open
Acute Myocardial Infarction Research
article

Development and validation of a machine learning model for prediction of 1-year mortality following ST-elevation myocardial infarction: a retrospective cohort study

Jonathan Ciofani, Harrison Nguyen, H. Sritharan, Ravinay Bhindi
article en

Abstract

Our ML model accurately predicts 1-year mortality in STEMI patients using only five clinical variables. This tool offers improved accuracy and ease of use compared with existing risk stratification methods, potentially enhancing patient stratification and guiding treatment decisions in STEMI management.

BMJ OpenVol. 16(2)
The University of Sydney (AU), Royal North Shore Hospital (AU)
Good health and well-being
Openalex Percentile: Top 59%
Acute Myocardial Infarction Research
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