Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis

BACKGROUND: Deep learning (DL) prediction models hold great promise in the triage of COVID-19. OBJECTIVE: We aimed to evaluate the diagnostic test accuracy of DL prediction models for assessing and predicting the severity of COVID-19. METHODS: We searched PubMed, Scopus, LitCovid, Embase, Ovid, and...

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Detalles Bibliográficos
Autores principales: Wang, Changyu, Liu, Siru, Tang, Yu, Yang, Hao, Liu, Jialin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403760/
https://www.ncbi.nlm.nih.gov/pubmed/37477951
http://dx.doi.org/10.2196/46340

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403760/
https://www.ncbi.nlm.nih.gov/pubmed/37477951
http://dx.doi.org/10.2196/46340

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