Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification

Abstract Diagnosis and appropriate intervention for myocardial infarction (MI) are time‐sensitive but rely on clinical measures that can be progressive and initially inconclusive, underscoring the need for an accurate and early predictor of MI to support diagnostic and clinical management decisions....

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Bibliographic Details
Main Authors: Saarang Panchavati, Carson Lam, Nicole S. Zelin, Emily Pellegrini, Gina Barnes, Jana Hoffman, Anurag Garikipati, Jacob Calvert, Qingqing Mao, Ritankar Das
Format: Article
Language:English
Published: Wiley 2021-12-01
Series:Healthcare Technology Letters
Online Access:https://doi.org/10.1049/htl2.12017