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

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

Abstract 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 pu...

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Bibliographic Details
Main Authors: Jiekee Lim, Jieyun Li, Xiao Feng, Lu Feng, Yumo Xia, Xinang Xiao, Yiqin Wang, Zhaoxia Xu
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Complementary Medicine and Therapies
Subjects:
Machine learning
Polycystic ovary syndrome
Pulse diagnostics
Radial pulse wave
Traditional Chinese medicine
Online Access:https://doi.org/10.1186/s12906-023-04249-5

Internet

https://doi.org/10.1186/s12906-023-04249-5

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