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

Machine Learning (1471) Clinical Information and Decision Making (1411) Decision Support for Health Professionals (1191) Myocardial Infarction (Heart Attack) (44) Intensive Care Unit (ICU) (112)

Published on in Vol 8, No 3 (2020): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16349, first published .
Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

Authors of this article:

Junetae Kim1, 2, 3 Author Orcid Image ;   Yu Rang Park4 Author Orcid Image ;   Jeong Hoon Lee4 Author Orcid Image ;   Jae-Ho Lee5, 6 Author Orcid Image ;   Young-Hak Kim7, 8, 9, 10 Author Orcid Image ;   Jin Won Huh11 Author Orcid Image
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