Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis

BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests. METHODS: In this study, we propose to generate a more accurate diagnosis model of COVID-19 based on patient sym...

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Detalles Bibliográficos
Autores principales: Li, Wei Tse, Ma, Jiayan, Shende, Neil, Castaneda, Grant, Chakladar, Jaideep, Tsai, Joseph C., Apostol, Lauren, Honda, Christine O., Xu, Jingyue, Wong, Lindsay M., Zhang, Tianyi, Lee, Abby, Gnanasekar, Aditi, Honda, Thomas K., Kuo, Selena Z., Yu, Michael Andrew, Chang, Eric Y., Rajasekaran, Mahadevan “ Raj”, Ongkeko, Weg M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522928/
https://www.ncbi.nlm.nih.gov/pubmed/32993652
http://dx.doi.org/10.1186/s12911-020-01266-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522928/
https://www.ncbi.nlm.nih.gov/pubmed/32993652
http://dx.doi.org/10.1186/s12911-020-01266-z

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