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

• मुख्य लेखकों: Kim, Hyung-Jun (लेखक), Han, Deokjae (लेखक), Kim, Jeong-Han (लेखक), Kim, Daehyun (लेखक), Ha, Beomman (लेखक), Seog, Woong (लेखक), Lee, Yeon-Kyeng (लेखक), Lim, Dosang (लेखक), Hong, Sung Ok (लेखक), Park, Mi-Jin (लेखक), Heo, JoonNyung (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: JMIR Publications, 2020-11-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: 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...