Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain

Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain

Abstract Background 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,...

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Bibliographic Details
Main Authors: Pei-I Zhang, Chien-Chin Hsu, Yuan Kao, Chia-Jung Chen, Ya-Wei Kuo, Shu-Lien Hsu, Tzu-Lan Liu, Hung-Jung Lin, Jhi-Joung Wang, Chung-Feng Liu, Chien-Cheng Huang
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Subjects:
Artificial intelligence
Chest pain
Emergency department
Machine learning
Major adverse cardiac events
Online Access:http://link.springer.com/article/10.1186/s13049-020-00786-x

Internet

http://link.springer.com/article/10.1186/s13049-020-00786-x

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