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Machine learning models to evaluate mortality in pediatric patients with pneumonia in the intensive care unit.
Lin, Siang-Rong; Wu, Jeng-Hung; Liu, Yun-Chung; Chiu, Pei-Hsin; Chang, Tu-Hsuan; Wu, En-Ting; Chou, Chia-Ching; Chang, Luan-Yin; Lai, Fei-Pei.
Affiliation
  • Lin SR; Institute of Applied Mechanics, National Taiwan University, Taipei City, Taiwan.
  • Wu JH; Department of Pediatrics, National Taiwan University Hospital, Taipei City, Taiwan.
  • Liu YC; Department of Pediatrics, National Taiwan University Hospital, Taipei City, Taiwan.
  • Chiu PH; Institute of Applied Mechanics, National Taiwan University, Taipei City, Taiwan.
  • Chang TH; Department of Pediatrics, Chi-Mei Medical Center, Tainan City, Taiwan.
  • Wu ET; Department of Pediatrics, National Taiwan University Hospital, Taipei City, Taiwan.
  • Chou CC; Institute of Applied Mechanics, National Taiwan University, Taipei City, Taiwan.
  • Chang LY; Department of Pediatrics, National Taiwan University Hospital, Taipei City, Taiwan.
  • Lai FP; Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei City, Taiwan.
Pediatr Pulmonol ; 59(5): 1256-1265, 2024 May.
Article in En | MEDLINE | ID: mdl-38353353
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia / Hospital Mortality / Machine Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male Country/Region as subject: Asia Language: En Journal: Pediatr Pulmonol Journal subject: PEDIATRIA Year: 2024 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia / Hospital Mortality / Machine Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male Country/Region as subject: Asia Language: En Journal: Pediatr Pulmonol Journal subject: PEDIATRIA Year: 2024 Document type: Article Affiliation country: Country of publication: