Basal gonadotropin levels combine with pelvic ultrasound and pituitary volume: a machine learning diagnostic model of idiopathic central precocious puberty

OBJECTIVE: The current diagnosis of central precocious puberty (CPP) relies on the gonadotropin-releasing hormone analogue (GnRHa) stimulation test, which requires multiple invasive blood sampling procedures. The aim of this study was to construct machine learning models incorporating basal pubertal...

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Detalles Bibliográficos
Autores principales: Chen, Tao, Zhang, Danbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685612/
https://www.ncbi.nlm.nih.gov/pubmed/38017451
http://dx.doi.org/10.1186/s12887-023-04432-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685612/
https://www.ncbi.nlm.nih.gov/pubmed/38017451
http://dx.doi.org/10.1186/s12887-023-04432-0

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