Ontology highlight
ABSTRACT:
SUBMITTER: Zhang PI
PROVIDER: S-EPMC7488862 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
Zhang Pei-I PI Hsu Chien-Chin CC Kao Yuan Y Chen Chia-Jung CJ Kuo Ya-Wei YW Hsu Shu-Lien SL Liu Tzu-Lan TL Lin Hung-Jung HJ Wang Jhi-Joung JJ Liu Chung-Feng CF Huang Chien-Cheng CC
Scandinavian journal of trauma, resuscitation and emergency medicine 20200911 1
<h4>Background</h4>A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach has never been integrated with the hospital information system (HIS) for predicting major adverse cardiac events (MACE) in patients with chest pain in the emergency department (ED). Therefore, we conducted the present study to clarify it.<h4>Methods</h4>In total, 85,254 ED patients with chest pain in three hospitals between 2009 and 2018 were identified. We randomized the patients into a 70% ...[more]