Performance of various machine learning models with deep learning features under verification set.

<p>Performance of various machine learning models with deep learning features under verification set.</p>

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Autor Principal:	Yao He (290155) (author)
Outros autores:	Jiaying Wei (11665639) (author), Yinsong Sun (22050075) (author), Wei Bao (241898) (author), Denghua Huang (22050078) (author), Yuanjun Fan (22050081) (author), Wei Huang (36889) (author), Tingting Wang (123983) (author)
Publicado:	2025
Subjects:	Medicine Cell Biology Genetics Neuroscience Biotechnology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified surveillance strategy selection may help physicians degenerative meniscus tears degenerative meniscus tear arthroscopic partial meniscectomy 75 %, excellent 50 %, good 452 eligible patients 25 %, average prognostic efficiency stratification patient &# 8217 therapeutic decision making pain exacerbation time important prognosis factor best performance achieved predicting postoperative outcomes arthroscopy </ p prognostic outcome postoperative effect patient prognosis xlink "> varying degrees validation set training set tool based test set significantly improved retrospectively enrolled research objective often accompanied february 2022 february 2020 clinical features
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