Machine learning classification of polycystic ovary syndrome based on radial pulse wave analysis

BACKGROUND: Patients with Polycystic ovary syndrome (PCOS) experienced endocrine disorders that may present vascular function changes. This study aimed to classify and predict PCOS by radial pulse wave parameters using machine learning (ML) methods and to provide evidence for objectifying pulse diag...

Descripción completa

Detalles Bibliográficos
Autores principales: Lim, Jiekee, Li, Jieyun, Feng, Xiao, Feng, Lu, Xia, Yumo, Xiao, Xinang, Wang, Yiqin, Xu, Zhaoxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644435/
https://www.ncbi.nlm.nih.gov/pubmed/37957660
http://dx.doi.org/10.1186/s12906-023-04249-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644435/
https://www.ncbi.nlm.nih.gov/pubmed/37957660
http://dx.doi.org/10.1186/s12906-023-04249-5

Ejemplares similares