An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

• Main Authors: Kim, Hyung-Jun (Author), Han, Deokjae (Author), Kim, Jeong-Han (Author), Kim, Daehyun (Author), Ha, Beomman (Author), Seog, Woong (Author), Lee, Yeon-Kyeng (Author), Lim, Dosang (Author), Hong, Sung Ok (Author), Park, Mi-Jin (Author), Heo, JoonNyung (Author)
• Format: Book
• Published: JMIR Publications, 2020-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundPrioritizing patients in need of intensive care is necessary to reduce the mortality rate during the COVID-19 pandemic. Although several scoring methods have been introduced, many require laboratory or radiographic findings that are not always easily available. ObjectiveThe purpose of this...