Machine learning based development of an early diagnosis signature for distinguishing hospitalized pediatric human respiratory syncytial virus infection from mycoplasma pneumonia.

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Bibliographic Details
Title: Machine learning based development of an early diagnosis signature for distinguishing hospitalized pediatric human respiratory syncytial virus infection from mycoplasma pneumonia.
Authors: Chen X; Department of Pediatrics, Yongkang Women and Children's Health Hospital, Yongkang, Zhejiang, China., Ying L; Department of Clinical Medicine, Xiantao Vocational College, Xiantao, Hubei, China., Kong W; Department of Pediatrics, Yongkang Women and Children's Health Hospital, Yongkang, Zhejiang, China., Hu W; Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang,,China., Hu Z; Department of Pediatrics, Yongkang Women and Children's Health Hospital, Yongkang, Zhejiang, China.
Source: Frontiers in pediatrics [Front Pediatr] 2026 Jun 02; Vol. 14, pp. 1845227. Date of Electronic Publication: 2026 Jun 02 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101615492 Publication Model: eCollection Cited Medium: Print ISSN: 2296-2360 (Print) Linking ISSN: 22962360 NLM ISO Abbreviation: Front Pediatr Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-2360
DOI:10.3389/fped.2026.1845227