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

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) mode...

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Bibliographic Details
Main Authors: Ko, Hoon, Chung, Heewon, Kang, Wu Seong, Park, Chul, Kim, Do Wan, Kim, Seong Eun, Chung, Chi Ryang, Ko, Ryoung Eun, Lee, Hooseok, Seo, Jae Ho, Choi, Tae-Young, Jaimes, Rafael, Kim, Kyung Won, Lee, Jinseok
Other Authors: Lincoln Laboratory
Format: Article
Language:English
Published: JMIR Publications Inc. 2021
Online Access:https://hdl.handle.net/1721.1/128948

Internet

https://hdl.handle.net/1721.1/128948

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