Prediction of myofascial pelvic pain syndrome based on random forest model

[Abstract]: Objective: The objective is to construct a random forest model for predicting the occurrence of Myofascial pelvic pain syndrome (MPPS) and compare its performance with a logistic regression model to demonstrate the superiority of the random forest model. Methods: We retrospectively anal...

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書誌詳細

出版年:	Heliyon
主要な著者:	Hang Yu, Hongguo Zhao, Dongxia Liu, Yanhua Dong, Manman Nai, Yikun Song, Jiaxi Liu, Luwen Wang, Lei Li, Xinbin Li
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2024-06-01
主題:	Myofascial pelvic pain syndrome Random forest Logistic regression Modified Oxford muscle strength grading Pelvic floor pressure assessment
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2405844024079593