This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Clinical Information and Decision Making (1407) JMIR Theme Issue: COVID-19 Special Issue (2452) Decision Support for Health Professionals (1185) Machine Learning (1465) Theme Issue: Medical Informatics and COVID-19 (107) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727)

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

Authors of this article:

Hoon Ko1 Author Orcid Image ;   Heewon Chung1 Author Orcid Image ;   Wu Seong Kang2 Author Orcid Image ;   Chul Park3 Author Orcid Image ;   Do Wan Kim4 Author Orcid Image ;   Seong Eun Kim5 Author Orcid Image ;   Chi Ryang Chung6 Author Orcid Image ;   Ryoung Eun Ko6 Author Orcid Image ;   Hooseok Lee1 Author Orcid Image ;   Jae Ho Seo7 Author Orcid Image ;   Tae-Young Choi8 Author Orcid Image ;   Rafael Jaimes9 Author Orcid Image ;   Kyung Won Kim10 Author Orcid Image ;   Jinseok Lee1 Author Orcid Image
Article Authors Cited by (61) Tweetations (10) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.