The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis.

ABSTRACT:

Background

The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients.

Methods

The PubMed, Embase, Web of Science, CNKI, Wanfang, China Biomedical Literature, and VIP databases were systematically searched from inception to October 2022 to identify studies that evaluated the predictive effects of artificial intelligence on mortality among COVID-19 patients. The retrieved literature was screened according to the inclusion and exclusion criteria. The quality of the included studies was assessed using the QUADAS-2 tools. Statistical analysis of the included studies was performed using Review Manager 5.3, Stata 16.0, and Meta-DiSc 1.4 statistical software. This meta-analysis was regist

SUBMITTER: Xin Y 

PROVIDER: S-EPMC10410953 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature