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

Theme Issue: Medical Informatics and COVID-19 (107) JMIR Theme Issue: COVID-19 Special Issue (2461) Decision Support for Health Professionals (1210) Imaging Informatics (200) Machine Learning (1501)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21604, first published .
Prediction of COVID-19 Severity Using Chest Computed Tomography and Laboratory Measurements: Evaluation Using a Machine Learning Approach

Prediction of COVID-19 Severity Using Chest Computed Tomography and Laboratory Measurements: Evaluation Using a Machine Learning Approach

Prediction of COVID-19 Severity Using Chest Computed Tomography and Laboratory Measurements: Evaluation Using a Machine Learning Approach

Authors of this article:

Daowei Li1 Author Orcid Image ;   Qiang Zhang2 Author Orcid Image ;   Yue Tan3 Author Orcid Image ;   Xinghuo Feng4 Author Orcid Image ;   Yuanyi Yue3 Author Orcid Image ;   Yuhan Bai5 Author Orcid Image ;   Jimeng Li6 Author Orcid Image ;   Jiahang Li6 Author Orcid Image ;   Youjun Xu7 Author Orcid Image ;   Shiyu Chen8 Author Orcid Image ;   Si-Yu Xiao9 Author Orcid Image ;   Muyan Sun9 Author Orcid Image ;   Xiaona Li10 Author Orcid Image ;   Fang Zhu11 Author Orcid Image
Article Authors Cited by (15) Tweetations (1) Metrics

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Books/Policy Documents

  1. Qi X, Shen L, Chen J, Shi M, Shen B. Translational Informatics. View