Establishment and Analysis of an Artificial Neural Network Model for Early Detection of Polycystic Ovary Syndrome Using Machine Learning Techniques

BACKGROUND: To identify novel gene combinations and to develop an early diagnostic model for Polycystic Ovary Syndrome (PCOS) through the integration of artificial neural networks (ANN) and random forest (RF) methods. METHODS: We retrieved and processed gene expression datasets for PCOS from the Gen...

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Detalles Bibliográficos
Autores principales: Wu, Yumi, Xiao, QiWei, Wang, ShouDong, Xu, Huanfang, Fang, YiGong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693771/
https://www.ncbi.nlm.nih.gov/pubmed/38050562
http://dx.doi.org/10.2147/JIR.S438838

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693771/
https://www.ncbi.nlm.nih.gov/pubmed/38050562
http://dx.doi.org/10.2147/JIR.S438838

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