Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25442, first published .
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

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

Hoon Ko   1 * , MSc ;   Heewon Chung   1 * , MSc ;   Wu Seong Kang   2 * , MD, PhD ;   Chul Park   3 * , MD ;   Do Wan Kim   4 , MD ;   Seong Eun Kim   5 , MD ;   Chi Ryang Chung   6 , MD, PhD ;   Ryoung Eun Ko   6 , MD, PhD ;   Hooseok Lee   1 , MSc ;   Jae Ho Seo   7 , PhD ;   Tae-Young Choi   8 , PhD ;   Rafael Jaimes   9 , PhD ;   Kyung Won Kim   10 , MD ;   Jinseok Lee   1 , PhD

1 Biomedical Engineering, Wonkwang University, Iksan, Republic of Korea

2 Department of Trauma Surgery, Wonkwang University Hospital, IKsan, Republic of Korea

3 Department of Internal Medicine, Wonkwang University Hospital, Iksan, Republic of Korea

4 Department of Thoracic and Cardiovascular Surgery, Chonnam National University Medical School, Gwangju, Republic of Korea

5 Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea

6 Department of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

7 Department of Biochemistry, Wonkwang University School of Medicine, Iksan, Republic of Korea

8 Department of Pathology, Wonkwang University School of Medicine, Iksan, Republic of Korea

9 Biotechnology and Human Systems, Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, United States

10 Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

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