Yanhua Dong

No ORCID on file · 2 papers in corpus

observational 2026

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

Frontiers in medicine ·doi:10.3389/fmed.2026.1627891

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 analy…

observational 2025

Comparative analysis of clinical feature-based machine learning models for predicting myofascial pelvic pain syndrome: a single-center retrospective study

Frontiers in medicine ·doi:10.3389/fmed.2025.1689480

BACKGROUND: Myofascial pelvic pain syndrome (MPPS) is a common but often underdiagnosed cause of chronic pelvic pain in women, significantly affecting quality of life. Early and accurate identification of patients at risk is essential for i…