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

• Κύριοι συγγραφείς: Ko, Hoon (Συγγραφέας), Chung, Heewon (Συγγραφέας), Kang, Wu Seong (Συγγραφέας), Park, Chul (Συγγραφέας), Kim, Do Wan (Συγγραφέας), Kim, Seong Eun (Συγγραφέας), Chung, Chi Ryang (Συγγραφέας), Ko, Ryoung Eun (Συγγραφέας), Lee, Hooseok (Συγγραφέας), Seo, Jae Ho (Συγγραφέας), Choi, Tae-Young (Συγγραφέας), Jaimes, Rafael (Συγγραφέας), Kim, Kyung Won (Συγγραφέας), Lee, Jinseok (Συγγραφέας)
• Μορφή: Βιβλίο
• Έκδοση: JMIR Publications, 2020-12-01T00:00:00Z.
• Θέματα: article
• Διαθέσιμο Online: 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...