A new model for predicting the occurrence of polycystic ovary syndrome: Based on data of tongue and pulse

Background and objective Polycystic ovary syndrome is one of the most common types of endocrine and metabolic diseases in women of reproductive age that needs to be screened early and assessed non-invasively. The objective of the current study was to develop prediction models for polycystic ovary sy...

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Bibliographic Details
Main Authors: Weiying Wang, Weiwei Zeng, Shunli He, Yulin Shi, Xinmin Chen, Liping Tu, Bingyi Yang, Jiatuo Xu, Xiuqi Yin
Format: Article
Language:English
Published: SAGE Publishing 2023-02-01
Series:Digital Health
Online Access:https://doi.org/10.1177/20552076231160323