A machine learning approach for predicting 72-hour mortality of hypothermic patients only using non-invasive parameters: A multi-center retrospective cohort study

Chunliang Jiang; GuoFeng Ru; GuanJun Liu; Huiquan Wang; Xin Ma; JiaMeng Xu; YiJing Fu; Jing Yuan; Guang Zhang

doi:10.1371/journal.pone.0334526

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Open Access

Peer-reviewed

Research Article

A machine learning approach for predicting 72-hour mortality of hypothermic patients only using non-invasive parameters: A multi-center retrospective cohort study

Chunliang Jiang,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Writing – original draft, Writing – review & editing

Affiliations School of Control Science and Engineering, Tiangong University, Tianjin, China, Systems Engineering Institute, Academy of Military Sciences, People’s Liberation Army, Tianjin, China
⨯
GuoFeng Ru,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Visualization

Affiliations Systems Engineering Institute, Academy of Military Sciences, People’s Liberation Army, Tianjin, China, Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, China
⨯
GuanJun Liu,

Roles Formal analysis, Investigation, Writing – original draft, Writing – review & editing

Affiliation Systems Engineering Institute, Academy of Military Sciences, People’s Liberation Army, Tianjin, China
⨯
Huiquan Wang,

Roles Conceptualization, Visualization, Writing – review & editing

Affiliation School of Control Science and Engineering, Tiangong University, Tianjin, China
⨯
Xin Ma,

Roles Visualization, Writing – original draft

Affiliation School of Control Science and Engineering, Tiangong University, Tianjin, China
⨯
JiaMeng Xu,

Roles Conceptualization, Writing – review & editing

Affiliation School of Control Science and Engineering, Tiangong University, Tianjin, China
⨯
YiJing Fu,

Roles Conceptualization, Writing – review & editing

Affiliations Systems Engineering Institute, Academy of Military Sciences, People’s Liberation Army, Tianjin, China, Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, China
⨯
Jing Yuan ,

Roles Conceptualization, Project administration, Supervision, Writing – review & editing

* E-mail: yuanjingjy@163.com (JY); zhangguang01@hotmail.com (GZ)

Affiliation Systems Engineering Institute, Academy of Military Sciences, People’s Liberation Army, Tianjin, China

https://orcid.org/0000-0002-8375-8858

⨯
Guang Zhang

Roles Conceptualization, Project administration, Supervision, Writing – review & editing

* E-mail: yuanjingjy@163.com (JY); zhangguang01@hotmail.com (GZ)

Affiliation Systems Engineering Institute, Academy of Military Sciences, People’s Liberation Army, Tianjin, China
⨯

A machine learning approach for predicting 72-hour mortality of hypothermic patients only using non-invasive parameters: A multi-center retrospective cohort study

Chunliang Jiang,
GuoFeng Ru,
GuanJun Liu,
Huiquan Wang,
Xin Ma,
JiaMeng Xu,
YiJing Fu,
Jing Yuan,
Guang Zhang

Published: October 22, 2025
https://doi.org/10.1371/journal.pone.0334526

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Hypothermia
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Forecasting
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Physiological parameters
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Death rates
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Body temperature
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Machine learning algorithms
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