Machine learning-based evaluation of application value of traditional Chinese medicine clinical index and pulse wave parameters in the diagnosis of polycystic ovary syndrome-Reference-Cited by-同舟云学术

Machine learning-based evaluation of application value of traditional Chinese medicine clinical index and pulse wave parameters in the diagnosis of polycystic ovary syndrome

Published:2023-12 Issue: Volume:64 Page:102311
ISSN:1876-3820
Container-title:European Journal of Integrative Medicine
language:en
Short-container-title:European Journal of Integrative Medicine

Author:

Lim Jiekee^ORCID,Li Jieyun,Feng Xiao,Feng Lu,Xiao Xinang,Xia Yumo,Wang Yiqin,Qian Lin,Yang Hong,Xu Zhaoxia

Funder

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Complementary and alternative medicine

Reference41 articles.

1. A brief insight into the etiology, genetics, and immunology of polycystic ovarian syndrome (PCOS);Siddiqui;J. Assist. Reprod. Genet.,2022

2. Correlation between different endometrial preparation protocols and pregnancy outcome of frozen embryo transfer in patients with polycystic ovary syndrome: a retrospective study;Pan;Gynecol. Endocrinol.,2023

3. The relationship between polycystic ovary syndrome and coronary heart disease: a bibliometric analysis;Liang;Front. Endocrinol.,2023

4. Risk prediction of gestational diabetes mellitus in women with polycystic ovary syndrome based on a nomogram model;Ouyang;BMC Pregnancy Childbirth,2023

5. From patterns to patients: advances in clinical machine learning for cancer diagnosis, prognosis, and treatment;Swanson;Cell,2023

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting TCM patterns in PCOS patients: An exploration of feature selection methods and multi-label machine learning models;Heliyon;2024-08

2. A Novel Stable and High-Fidelity T-Structured Pulse Sensing System for Human Health Assessment;IEEE Sensors Journal;2024-07-01

3. Comprehensive Women’s Health Risk Assessment Platform;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15