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

Clinical Information and Decision Making (1587) Decision Support for Health Professionals (1313) Clinical Informatics (1121) Machine Learning (1663) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (623) Artificial Intelligence (1644)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49283, first published .
An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study

An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study

An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study

Authors of this article:

Seungseok Lee1 Author Orcid Image ;   Wu Seong Kang2 Author Orcid Image ;   Do Wan Kim3 Author Orcid Image ;   Sang Hyun Seo4 Author Orcid Image ;   Joongsuck Kim2 Author Orcid Image ;   Soon Tak Jeong5 Author Orcid Image ;   Dong Keon Yon6, 7 Author Orcid Image ;   Jinseok Lee1 Author Orcid Image
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New in JMIR: An artificial intelligence (#AI) Model for Predicting Trauma Mortality Among Emergency Department ##Patients in South Korea: Retrospective Cohort #Study https://t.co/mUb5rq6eUR https://t.co/nPTElOlkC3

3:15 PM · Aug 29, 2023

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RT @jmirpub: New in JMIR: An artificial intelligence (#AI) Model for Predicting Trauma Mortality Among Emergency Department ##Patients in S…

3:16 PM · Aug 29, 2023

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