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

Clinical Information and Decision Making (1661) Decision Support for Health Professionals (1342) Artificial Intelligence (1747) Machine Learning (1742) Clinical Informatics (1165)

Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41819, first published .
A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study

A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study

A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study

Authors of this article:

Cheng Fang1 Author Orcid Image ;   Yifeng Pan2 Author Orcid Image ;   Luotong Zhao1 Author Orcid Image ;   Zhaoyi Niu1 Author Orcid Image ;   Qingguo Guo1 Author Orcid Image ;   Bing Zhao1 Author Orcid Image
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RT @jmirpub: New in JMIR: A Machine Learning-Based Approach to Predict Prognosis and Length of #Hospital Stay in Adults and Children With T…

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