Explainable machine learning for the early differentiation of pediatric bronchopneumonia using routine laboratory parameters.
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| Title: | Explainable machine learning for the early differentiation of pediatric bronchopneumonia using routine laboratory parameters. |
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| Authors: | Dai J; Department of Pediatrics, Siyang Hospital, Suqian, China., Qiu H; Department of Radiation Oncology, Siyang Hospital, Suqian, China., Shen L; Department of Clinical Laboratory, Shanxian Central Hospital, Heze, China., Shi Q; Department of Radiation Oncology, Siyang Hospital, Suqian, China., Shen K; Department of Radiation Oncology, Siyang Hospital, Suqian, China., Wang Q; Department of Clinical Laboratory, Shanxian Central Hospital, Heze, China., Qiu W; Department of Pediatrics, Siyang Hospital, Suqian, China. |
| Source: | PloS one [PLoS One] 2026 Jul 08; Vol. 21 (7), pp. e0351509. Date of Electronic Publication: 2026 Jul 08 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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