Explainable machine learning for the early differentiation of pediatric bronchopneumonia using routine laboratory parameters

Jinxing Dai; Hao Qiu; Liran Shen; Qianjin Shi; Kang Shen; Qingkai Wang; Weibing Qiu

doi:10.1371/journal.pone.0351509

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Open Access

Peer-reviewed

Research Article

Explainable machine learning for the early differentiation of pediatric bronchopneumonia using routine laboratory parameters

Jinxing Dai,

Roles Resources, Software, Writing – original draft

Affiliation Department of Pediatrics, Siyang Hospital, Suqian, China
⨯
Hao Qiu,

Roles Conceptualization, Data curation, Resources, Supervision, Validation, Writing – review & editing

Affiliation Department of Radiation Oncology, Siyang Hospital, Suqian, China
⨯
Liran Shen,

Roles Data curation, Formal analysis, Funding acquisition, Software

Affiliation Department of Clinical Laboratory, Shanxian Central Hospital, Heze, China
⨯
Qianjin Shi,

Roles Investigation, Methodology, Resources, Software

Affiliation Department of Radiation Oncology, Siyang Hospital, Suqian, China
⨯
Kang Shen,

Roles Data curation, Formal analysis, Supervision, Validation

Affiliation Department of Radiation Oncology, Siyang Hospital, Suqian, China
⨯
Qingkai Wang ,

Contributed equally to this work with: Qingkai Wang

Roles Data curation, Formal analysis, Investigation, Software, Supervision, Validation, Writing – original draft, Writing – review & editing

¶☯ These authors contributed equally to this work and share senior authorship.

Affiliation Department of Clinical Laboratory, Shanxian Central Hospital, Heze, China
⨯
Weibing Qiu

Roles Data curation, Software, Writing – original draft, Writing – review & editing

* E-mail: qwb13511784020@126.com

¶☯ These authors contributed equally to this work and share senior authorship.

Affiliation Department of Pediatrics, Siyang Hospital, Suqian, China

https://orcid.org/0009-0007-8414-4982

⨯

Explainable machine learning for the early differentiation of pediatric bronchopneumonia using routine laboratory parameters

Jinxing Dai,
Hao Qiu,
Liran Shen,
Qianjin Shi,
Kang Shen,
Qingkai Wang,
Weibing Qiu

Published: July 8, 2026
https://doi.org/10.1371/journal.pone.0351509

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