Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias

Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias

Abstract The Coronavirus Disease 2019 (COVID-19) is transitioning into the endemic phase. Nonetheless, it is crucial to remain mindful that pandemics related to infectious respiratory diseases (IRDs) can emerge unpredictably. Therefore, we aimed to develop and validate a severity assessment model fo...

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Bibliographic Details
Main Authors: Doohyun Park, Ryoungwoo Jang, Myung Jin Chung, Hyun Joon An, Seongwon Bak, Euijoon Choi, Dosik Hwang
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-40506-w

Internet

https://doi.org/10.1038/s41598-023-40506-w

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