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

Clinical Information and Decision Making (1407) Electronic Health Records (1053) Cardiology (159) Myocardial Infarction (Heart Attack) (44) Methods and Instruments in Medical Informatics (126) Artificial Intelligence (1371) Coronary Heart Disease (81) Data Science (270) Machine Learning (1465)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37486, first published .
Improving the Performance of Outcome Prediction for Inpatients With Acute Myocardial Infarction Based on Embedding Representation Learned From Electronic Medical Records: Development and Validation Study

Improving the Performance of Outcome Prediction for Inpatients With Acute Myocardial Infarction Based on Embedding Representation Learned From Electronic Medical Records: Development and Validation Study

Improving the Performance of Outcome Prediction for Inpatients With Acute Myocardial Infarction Based on Embedding Representation Learned From Electronic Medical Records: Development and Validation Study

Authors of this article:

Yanqun Huang1, 2 Author Orcid Image ;   Zhimin Zheng1, 2 Author Orcid Image ;   Moxuan Ma1, 2 Author Orcid Image ;   Xin Xin1, 2 Author Orcid Image ;   Honglei Liu1, 2 Author Orcid Image ;   Xiaolu Fei3 Author Orcid Image ;   Lan Wei3 Author Orcid Image ;   Hui Chen1, 2 Author Orcid Image
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