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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| 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 |