Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review

Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review

10.3390/ijerph18094749

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Bibliographic Details
Main Authors:	Chee, Marcel Lucas, Ong, Marcus Eng Hock, Siddiqui, Fahad Javaid, Zhang, Zhongheng, Lim, Shir Lynn, Ho, Andrew Fu Wah, Liu, Nan
Other Authors:	DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
Format:	Review
Language:	English
Published:	MDPI 2022
Subjects:	Science & Technology Life Sciences & Biomedicine Environmental Sciences Public, Environmental & Occupational Health Environmental Sciences & Ecology artificial intelligence machine learning COVID-19 emergency department intensive care critical care MECHANICALLY VENTILATED PATIENTS MULTIVARIABLE PREDICTION MODEL INDIVIDUAL PROGNOSIS DIAGNOSIS TRIPOD VALIDATION EXPLANATION CALIBRATION SIMULATION EVENTS RISK
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/228743
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Institution:	National University of Singapore
Language:	English

Description
Summary:	10.3390/ijerph18094749