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

JMIR Theme Issue 2020/21: COVID-19 Special Issue (1155) Machine Learning (551) Clinical Information and Decision Making (470) Decision Support for Health Professionals (404) Outbreak and Pandemic Preparedness and Management (884) Artificial Intelligence (321) Infectious Diseases (non-STD/STI) (774) Theme Issue 2020-2021: Medical Informatics and COVID-19 (75)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23458, first published .
Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study

Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study

Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study

Authors of this article:

Kenji Ikemura 1, 2 Author Orcid Image ;   Eran Bellin 3 Author Orcid Image ;   Yukako Yagi 4 Author Orcid Image ;   Henny Billett 5 Author Orcid Image ;   Mahmoud Saada 2 Author Orcid Image ;   Katelyn Simone 2 Author Orcid Image ;   Lindsay Stahl 3 Author Orcid Image ;   James Szymanski 1 Author Orcid Image ;   D Y Goldstein 1 Author Orcid Image ;   Morayma Reyes Gil 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (53) Metrics

Journals

  1. Karthikeyan A, Garg A, Vinod P, Priyakumar U. Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction. Frontiers in Public Health 2021;9 View