Machine learning based early mortality prediction in the emergency department
Author:
Funder
National Natural Science Foundation of China
Sichuan University
West China Hospital, Sichuan University
Sichuan Province Science and Technology Support Program
Publisher
Elsevier BV
Subject
Health Informatics
Reference47 articles.
1. Lee Sungjoo, Hong Sungjun, Cha Won Chul, et al., Predicting adverse outcomes for febrile patients in the emergency department using sparse laboratory data: development of a time adaptive model. JMIR Med. Inform., 2020, 8: e16117.
2. Hong Sungjun, Lee Sungjoo, Lee Jeonghoon, et al., Prediction of cardiac arrest in the emergency department based on machine learning and sequential characteristics: model development and retrospective clinical validation study, JMIR Med. Inform., 2020, 8: e15932.
3. Kwon Joon-Myoung, Lee Youngnam, Lee Yeha, et al., Validation of deep-learning-based triage and acuity score using a large national dataset, PLoS ONE, 2018, 13: e0205836.
4. Kwon Joon-Myoung, Lee Youngnam, Lee Yeha, et al., Validation of deep-learning-based triage and acuity score using a large national dataset. PLoS ONE, 2018, 13: e0205836.
5. Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: Development and validation of a multivariable model;Redfern;Resuscitation,2018
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