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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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
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  Data: <searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Department of Pediatrics, Yongkang Women and Children's Health Hospital, Yongkang, Zhejiang, China.<br /><searchLink fieldCode="AU" term="%22Ying+L%22">Ying L</searchLink>; Department of Clinical Medicine, Xiantao Vocational College, Xiantao, Hubei, China.<br /><searchLink fieldCode="AU" term="%22Kong+W%22">Kong W</searchLink>; Department of Pediatrics, Yongkang Women and Children's Health Hospital, Yongkang, Zhejiang, China.<br /><searchLink fieldCode="AU" term="%22Hu+W%22">Hu W</searchLink>; Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang,,China.<br /><searchLink fieldCode="AU" term="%22Hu+Z%22">Hu Z</searchLink>; Department of Pediatrics, Yongkang Women and Children's Health Hospital, Yongkang, Zhejiang, China.
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  Data: <searchLink fieldCode="JN" term="%22101615492%22">Frontiers in pediatrics</searchLink> [Front Pediatr] 2026 Jun 02; Vol. 14, pp. 1845227. <i>Date of Electronic Publication: </i>2026 Jun 02 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101615492 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-2360 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222962360%22">22962360 </searchLink><i>NLM ISO Abbreviation: </i>Front Pediatr <i>Subsets: </i>PubMed not MEDLINE
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      – Type: doi
        Value: 10.3389/fped.2026.1845227
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        Text: English
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      – TitleFull: 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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              Text: 2026 Jun 02
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