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Open Access

Peer-reviewed

Research Article

A new method for identifying the acute respiratory distress syndrome disease based on noninvasive physiological parameters

Pengcheng Yang,

Roles Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Institute of Medical Support, Academy of Military Sciences, Tianjin, China
⨯
Taihu Wu,

Roles Methodology, Project administration

Affiliation Institute of Medical Support, Academy of Military Sciences, Tianjin, China
⨯
Ming Yu,

Roles Methodology, Project administration, Resources

Affiliation Institute of Medical Support, Academy of Military Sciences, Tianjin, China
⨯
Feng Chen,

Roles Methodology, Project administration

Affiliation Institute of Medical Support, Academy of Military Sciences, Tianjin, China
⨯
Chunchen Wang,

Roles Software, Validation

Affiliation Department of Aerospace Medicine, Air Force Military Medical University, Xi’an, China
⨯
Jing Yuan,

Roles Methodology, Supervision, Validation, Visualization

Affiliation Institute of Medical Support, Academy of Military Sciences, Tianjin, China
⨯
Jiameng Xu,

Roles Software, Validation

Affiliation Institute of Medical Support, Academy of Military Sciences, Tianjin, China
⨯
Guang Zhang

Roles Conceptualization, Formal analysis, Supervision, Writing – review & editing

* E-mail: zhangguang01@hotmail.com

Affiliation Institute of Medical Support, Academy of Military Sciences, Tianjin, China

http://orcid.org/0000-0002-5233-071X

⨯

A new method for identifying the acute respiratory distress syndrome disease based on noninvasive physiological parameters

Pengcheng Yang,
Taihu Wu,
Ming Yu,
Feng Chen,
Chunchen Wang,
Jing Yuan,
Jiameng Xu,
Guang Zhang

x

Published: February 5, 2020
https://doi.org/10.1371/journal.pone.0226962

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Algorithms
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Blood pressure
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Acute respiratory distress syndrome
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Intensive care units
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Blood
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