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Machine learning identifies girls with central precocious puberty based on multisource data

OBJECTIVE: The study aimed to develop simplified diagnostic models for identifying girls with central precocious puberty (CPP), without the expensive and cumbersome gonadotropin-releasing hormone (GnRH) stimulation test, which is the gold standard for CPP diagnosis. MATERIALS AND METHODS: Female pat...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:JAMIA Open
Prif Awduron: Pan, Liyan, Liu, Guangjian, Mao, Xiaojian, Liang, Huiying
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: Oxford University Press 2020
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC7886559/
https://ncbi.nlm.nih.gov/pubmed/33623892
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamiaopen/ooaa063
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