Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study

The unprecedented global crisis brought about by the COVID-19 pandemic has sparked numerous efforts to create predictive models for the detection and prognostication of SARS-CoV-2 infections with the goal of helping health systems allocate resources. Machine learning models, in particular, hold prom...

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Detalles Bibliográficos
Autores principales: Wu, Joy Tzung-yu, de la Hoz, Miguel Ángel Armengol, Kuo, Po-Chih, Paguio, Joseph Alexander, Yao, Jasper Seth, Dee, Edward Christopher, Yeung, Wesley, Jurado, Jerry, Moulick, Achintya, Milazzo, Carmelo, Peinado, Paloma, Villares, Paula, Cubillo, Antonio, Varona, José Felipe, Lee, Hyung-Chul, Estirado, Alberto, Castellano, José Maria, Celi, Leo Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255527/
https://www.ncbi.nlm.nih.gov/pubmed/35789446
http://dx.doi.org/10.1007/s10278-022-00674-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255527/
https://www.ncbi.nlm.nih.gov/pubmed/35789446
http://dx.doi.org/10.1007/s10278-022-00674-z

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