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

Artificial Intelligence (2129) Machine Learning (2076) Respiratory Medicine (157) Clinical Information and Decision Making (1915)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66615, first published .
Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

Authors of this article:

Jinxi Yang1 Author Orcid Image ;   Siyao Zeng1 Author Orcid Image ;   Shanpeng Cui1 Author Orcid Image ;   Junbo Zheng2 Author Orcid Image ;   Hongliang Wang2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Jinxi Yang   1 * , MS ;   Siyao Zeng   1 * , PhD ;   Shanpeng Cui   1 * , MS ;   Junbo Zheng   2 * , PhD ;   Hongliang Wang   2 * , PhD

1 The Second Clinical Medical College, Harbin Medical University, Heilongjiang Province, Harbin, China

2 Department of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang Province, Harbin, China

*all authors contributed equally

Corresponding Author:

  • Hongliang Wang, PhD
  • Department of Critical Care Medicine
  • The Second Affiliated Hospital of Harbin Medical University
  • No. 246 Xuefu Road, Nangang District
  • Heilongjiang Province, Harbin 150086
  • China
  • Phone: 86 15045377888
  • Fax: 86 0451-86662961
  • Email: icuwanghongliang@163.com