Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review

AIM: To perform a systematic review on the use of Artificial Intelligence (AI) techniques for predicting COVID-19 hospitalization and mortality using primary and secondary data sources. STUDY ELIGIBILITY CRITERIA: Cohort, clinical trials, meta-analyses, and observational studies investigating COVID-...

Descripción completa

Detalles Bibliográficos
Autores principales: Shakibfar, Saeed, Nyberg, Fredrik, Li, Huiqi, Zhao, Jing, Nordeng, Hedvig Marie Egeland, Sandve, Geir Kjetil Ferkingstad, Pavlovic, Milena, Hajiebrahimi, Mohammadhossein, Andersen, Morten, Sessa, Maurizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319067/
https://www.ncbi.nlm.nih.gov/pubmed/37408750
http://dx.doi.org/10.3389/fpubh.2023.1183725

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319067/
https://www.ncbi.nlm.nih.gov/pubmed/37408750
http://dx.doi.org/10.3389/fpubh.2023.1183725

Ejemplares similares