Identification of clinical phenotypes and prediction model for the mixed-infection phenotype of pediatric community-acquired pneumonia based on unsupervised machine learning - Top-Institutions - MDSpire

Identification of clinical phenotypes and prediction model for the mixed-infection phenotype of pediatric community-acquired pneumonia based on unsupervised machine learning

  • By

  • Meng Xiao

  • Ying Jiang

  • Qiaobin Chen

  • Yongxi Deng

  • Hongbiao Huang

  • Qiong Fang

  • Xiaoting Lin

  • Lijun Xiong

  • May 21, 2026

  • 0 min

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Top Institutions in Pediatrics

Brief introduction explaining scope and methodology.

  • #1

    Fujian Provincial Hospital
    Fujian Provincial Hospital

    Fuzhou, Fujian

    Key Differentiators

    • Pediatrics

  • #2

    Sanming Second Hospital
    Sanming Second Hospital

    Sanming, Fujian

    Key Differentiators

    • Pediatrics

  • #3

    Medical Information Mart for Intensive Care-IV (MIMIC-IV)
    Medical Information Mart for Intensive Care-IV (MIMIC-IV)

    Boston, MA

    Key Differentiators

    • Data Science
    • Pediatrics

Original Source(s)

Identification of clinical phenotypes and prediction model for the mixed-infection phenotype of pediatric community-acquired pneumonia based on unsupervised machine learning

  • by Meng Xiao, Ying Jiang, Qiaobin Chen, Yongxi Deng, Hongbiao Huang, Qiong Fang, Xiaoting Lin, Lijun Xiong

  • May 21, 2026

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