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

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Bibliographic Details
Title: Development and validation of diagnostic prediction models for central precocious puberty in girls based on machine learning: a multicenter retrospective study.
Authors: Wu W; Department of Endocrinology, Genetics and Metabolism, Fuzhou First General Hospital Affiliated with Fujian Medical University (Fuzhou Children's Hospital of Fujian Province), Fuzhou, Fujian, China., Su Z; Department of Endocrinology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China., Wei H; Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital (Children's Hospital Affiliated to Zhengzhou University), Zhengzhou, Henan, China., Li Y; Department of Pediatrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China., Zhu B; Department of Endocrinology, Genetics and Metabolism, Fuzhou First General Hospital Affiliated with Fujian Medical University (Fuzhou Children's Hospital of Fujian Province), Fuzhou, Fujian, China., Yuan X; Department of Endocrinology, Genetics and Metabolism, Fuzhou First General Hospital Affiliated with Fujian Medical University (Fuzhou Children's Hospital of Fujian Province), Fuzhou, Fujian, China., Lei D; Department of Endocrinology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China., Wei Y; Department of Endocrinology, Genetics and Metabolism, Henan Children's Hospital (Children's Hospital Affiliated to Zhengzhou University), Zhengzhou, Henan, China., Wu X; Department of Pediatrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China., Ou H; Department of Endocrinology, Genetics and Metabolism, Fuzhou First General Hospital Affiliated with Fujian Medical University (Fuzhou Children's Hospital of Fujian Province), Fuzhou, Fujian, China., Chen X; Department of Endocrinology, Genetics and Metabolism, Fuzhou First General Hospital Affiliated with Fujian Medical University (Fuzhou Children's Hospital of Fujian Province), Fuzhou, Fujian, China., Zhu Z; Department of Endocrinology, Genetics and Metabolism, Fuzhou First General Hospital Affiliated with Fujian Medical University (Fuzhou Children's Hospital of Fujian Province), Fuzhou, Fujian, China., Chen R; Department of Endocrinology, Genetics and Metabolism, Fuzhou First General Hospital Affiliated with Fujian Medical University (Fuzhou Children's Hospital of Fujian Province), Fuzhou, Fujian, China.
Source: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Jun 15; Vol. 17, pp. 1857867. Date of Electronic Publication: 2026 Jun 15 (Print Publication: 2026).
Publication Type: Journal Article; Multicenter Study; Validation Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE
Database: MEDLINE Ultimate
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