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Zhuyin Li

As seen in: Frontiers, MDPI
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Articles

Analysis and application of a machine learning-based assisted diagnosis method for myofascial pelvic pain syndrome

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By Hang Yu, Yingying Li, Zhuyin Li, Jiaxi Liu, Hongguo Zhao, Yanhua Dong, Dongxia Liu, Xiaohua Luo, Tingwei Xiao
| Frontiers
Abstract Objectives: The research aims to leverage machine learning techniques to better understand the diagnosis of myofascial pelvic pain syndrome (MPPS) and to develop useful tools for clinical practice. Methods: This study retrospectively analyzed clinical data from female patients. Between January 2021 and December 2024, 1,204 MPPS cases and 1,217 healthy women from the Pelvic Floor Rehabilitation Center of Zhengzhou University’s Third Affiliated Hospital were enrolled.
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Joint Azimuth, Elevation and Delay Estimation for Single Base Station Localization in 3D IIoT

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By Xu Zhu, Zhuyin Li
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by and * School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen 518000, China * Author to whom correspondence should be addressed. † This paper is an extended version of our paper published in Z. Li and X.
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