Establishment and Analysis of a Combined Diagnostic Model of Polycystic Ovary Syndrome with Random Forest and Artificial Neural Network

Polycystic ovary syndrome (PCOS) is one of the most common metabolic and reproductive endocrinopathies. However, few studies have tried to develop a diagnostic model based on gene biomarkers. In this study, we applied a computational method by combining two machine learning algorithms, including ran...

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Detalles Bibliográficos
Autores principales: Xie, Ning-Ning, Wang, Fang-Fang, Zhou, Jue, Liu, Chang, Qu, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455828/
https://www.ncbi.nlm.nih.gov/pubmed/32884937
http://dx.doi.org/10.1155/2020/2613091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455828/
https://www.ncbi.nlm.nih.gov/pubmed/32884937
http://dx.doi.org/10.1155/2020/2613091

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