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

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

Abstract 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,...

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Main Authors: Wu, Joy T. (Author), de la Hoz, Miguel Á. A. (Author), Kuo, Po-Chih (Author), Paguio, Joseph A. (Author), Yao, Jasper S. (Author), Dee, Edward C. (Author), Yeung, Wesley (Author), Jurado, Jerry (Author), Moulick, Achintya (Author), Milazzo, Carmelo (Author), Peinado, Paloma (Author), Villares, Paula (Author), Cubillo, Antonio (Author), Varona, José F. (Author), Lee, Hyung-Chul (Author), Estirado, Alberto (Author)
Format: Article
Language:English
Published: Springer International Publishing, 2022-07-11T15:23:33Z.
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