Assessment and quantification of ovarian reserve on the basis of machine learning models

BACKGROUND: Early detection of ovarian aging is of huge importance, although no ideal marker or acknowledged evaluation system exists. The purpose of this study was to develop a better prediction model to assess and quantify ovarian reserve using machine learning methods. METHODS: This is a multicen...

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Detalles Bibliográficos
Autores principales: Ding, Ting, Ren, Wu, Wang, Tian, Han, Yun, Ma, Wenqing, Wang, Man, Fu, Fangfang, Li, Yan, Wang, Shixuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050589/
https://www.ncbi.nlm.nih.gov/pubmed/37008906
http://dx.doi.org/10.3389/fendo.2023.1087429

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050589/
https://www.ncbi.nlm.nih.gov/pubmed/37008906
http://dx.doi.org/10.3389/fendo.2023.1087429

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