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

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Bibliographic Details
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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