Early prediction of plastic bronchitis in pediatric patients with Mycoplasma pneumoniae pneumonia by interpretable machine learning algorithms.

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Title: Early prediction of plastic bronchitis in pediatric patients with Mycoplasma pneumoniae pneumonia by interpretable machine learning algorithms.
Authors: Wang P; Department of Laboratory Medicine, Jingmen Central Hospital, Jingmen, China.; Department of Medicine, Jingmen Central Hospital Affiliated with Jingchu University of Technology, Jingmen, China., Duan R; Department of Laboratory Medicine, Jingmen Central Hospital, Jingmen, China.; Department of Medicine, Jingmen Central Hospital Affiliated with Jingchu University of Technology, Jingmen, China., Wang Q; Department of Medicine, Jingmen Central Hospital Affiliated with Jingchu University of Technology, Jingmen, China.; Department of Pediatrics, Jingmen Central Hospital, Jingmen, China., Xiao D; Department of Comprehensive Maternal and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, China.
Source: Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2026 Apr 23; Vol. 16, pp. 1785189. Date of Electronic Publication: 2026 Apr 23 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN: 2235-2988 (Electronic) Linking ISSN: 22352988 NLM ISO Abbreviation: Front Cell Infect Microbiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Wang+P%22">Wang P</searchLink>; Department of Laboratory Medicine, Jingmen Central Hospital, Jingmen, China.; Department of Medicine, Jingmen Central Hospital Affiliated with Jingchu University of Technology, Jingmen, China.<br /><searchLink fieldCode="AU" term="%22Duan+R%22">Duan R</searchLink>; Department of Laboratory Medicine, Jingmen Central Hospital, Jingmen, China.; Department of Medicine, Jingmen Central Hospital Affiliated with Jingchu University of Technology, Jingmen, China.<br /><searchLink fieldCode="AU" term="%22Wang+Q%22">Wang Q</searchLink>; Department of Medicine, Jingmen Central Hospital Affiliated with Jingchu University of Technology, Jingmen, China.; Department of Pediatrics, Jingmen Central Hospital, Jingmen, China.<br /><searchLink fieldCode="AU" term="%22Xiao+D%22">Xiao D</searchLink>; Department of Comprehensive Maternal and Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, China.
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  Data: <searchLink fieldCode="JN" term="%22101585359%22">Frontiers in cellular and infection microbiology</searchLink> [Front Cell Infect Microbiol] 2026 Apr 23; Vol. 16, pp. 1785189. <i>Date of Electronic Publication: </i>2026 Apr 23 (<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>101585359 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2235-2988 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222352988%22">22352988 </searchLink><i>NLM ISO Abbreviation: </i>Front Cell Infect Microbiol <i>Subsets: </i>MEDLINE
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        Value: 10.3389/fcimb.2026.1785189
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      – TitleFull: Early prediction of plastic bronchitis in pediatric patients with Mycoplasma pneumoniae pneumonia by interpretable machine learning algorithms.
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              Text: 2026 Apr 23
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