This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Machine Learning (1465) Decision Support for Health Professionals (1185) Cardiac Risk and Cardiac Risk Calculators (45) Myocardial Infarction (Heart Attack) (44)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50067, first published .
A Machine Learning Model for Predicting In-Hospital Mortality in Chinese Patients With ST-Segment Elevation Myocardial Infarction: Findings From the China Myocardial Infarction Registry

A Machine Learning Model for Predicting In-Hospital Mortality in Chinese Patients With ST-Segment Elevation Myocardial Infarction: Findings From the China Myocardial Infarction Registry

A Machine Learning Model for Predicting In-Hospital Mortality in Chinese Patients With ST-Segment Elevation Myocardial Infarction: Findings From the China Myocardial Infarction Registry

Authors of this article:

Jingang Yang1 Author Orcid Image ;   Yingxue Li2 Author Orcid Image ;   Xiang Li2 Author Orcid Image ;   Shuiying Tao1 Author Orcid Image ;   Yuan Zhang2 Author Orcid Image ;   Tiange Chen2 Author Orcid Image ;   Guotong Xie2 Author Orcid Image ;   Haiyan Xu1 Author Orcid Image ;   Xiaojin Gao1 Author Orcid Image ;   Yuejin Yang1 Author Orcid Image
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Journals

  1. Tang N, Liu S, Li K, Zhou Q, Dai Y, Sun H, Zhang Q, Hao J, Qi C. Prediction of in-hospital mortality risk for patients with acute ST-elevation myocardial infarction after primary PCI based on predictors selected by GRACE score and two feature selection methods. Frontiers in Cardiovascular Medicine 2024;11 View