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

Background: COVID-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. Objective: To overcome this issue, we developed an artificial intelligence (AI) model...

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Bibliographic Details
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)
Other Authors: Lincoln Laboratory (Contributor)
Format: Article
Language:English
Published: JMIR Publications Inc., 2021-01-04T21:25:05Z.
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