An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model

• Main Authors: Ko, Hoon (Author), Chung, Heewon (Author), Kang, Wu Seong (Author), Park, Chul (Author), Kim, Do Wan (Author), Kim, Seong Eun (Author), Chung, Chi Ryang (Author), Ko, Ryoung Eun (Author), Lee, Hooseok (Author), Seo, Jae Ho (Author), Choi, Tae-Young (Author), Jaimes, Rafael (Author), Kim, Kyung Won (Author), Lee, Jinseok (Author)
• Format: Book
• Published: JMIR Publications, 2020-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundCOVID-19, which is accompanied by acute respiratory distress, multiple organ failure, and death, has spread worldwide much faster than previously thought. However, at present, it has limited treatments. ObjectiveTo overcome this issue, we developed an artificial intelligence (AI) model of...