Development and validation of diagnostic prediction models for central precocious puberty in girls based on machine learning: a multicenter retrospective study - Top-Institutions - MDSpire

Development and validation of diagnostic prediction models for central precocious puberty in girls based on machine learning: a multicenter retrospective study

  • By

  • Wenyong Wu

  • Zhe Su

  • Haiyan Wei

  • Yanhong Li

  • Benlong Zhu

  • Xin Yuan

  • Daibin Lei

  • Yi Wei

  • Xian Wu

  • Hanghan Ou

  • Xinyu Chen

  • Ziling Zhu

  • Ruimin Chen

  • June 15, 2026

  • 0 min

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Top Institutions in Endocrinology

Brief introduction explaining scope and methodology.

  • #1

    Fuzhou First General Hospital Affiliated with Fujian Medical University
    Fuzhou First General Hospital Affiliated with Fujian Medical University

    Fuzhou, Fujian

    Key Differentiators

    • Pediatrics

  • #2

    Shenzhen Children’s Hospital
    Shenzhen Children’s Hospital

    Shenzhen, Guangdong

    Key Differentiators

    • Pediatrics

  • #3

    The First Affiliated Hospital, Sun Yat-sen University
    The First Affiliated Hospital, Sun Yat-sen University

    Guangzhou, Guangdong

    Key Differentiators

    • Pediatrics

  • #4

    Henan Children’s Hospital Zhengzhou Children’s Hospital
    Henan Children’s Hospital Zhengzhou Children’s Hospital

    Zhengzhou, Henan

    Key Differentiators

    • Pediatrics

Original Source(s)

Development and validation of diagnostic prediction models for central precocious puberty in girls based on machine learning: a multicenter retrospective study

  • by Wenyong Wu, Zhe Su, Haiyan Wei, Yanhong Li, Benlong Zhu, Xin Yuan, Daibin Lei, Yi Wei, Xian Wu, Hanghan Ou, Xinyu Chen, Ziling Zhu, Ruimin Chen

  • June 15, 2026

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