Comparison of the Predicting Performance for Fate of Medial Meniscus Posterior Root Tear Based on Treatment Strategies: A Comparison between Logistic Regression, Gradient Boosting, and CNN Algorithms

This study aimed to validate the accuracy and prediction performance of machine learning (ML), deep learning (DL), and logistic regression methods in the treatment of medial meniscus posterior root tears (MMPRT). From July 2003 to May 2018, 640 patients diagnosed with MMPRT were included. First, the...

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Detalles Bibliográficos
Autores principales: Lee, Jae-Ik, Kim, Dong-Hyun, Yoo, Hyun-Jin, Choi, Han-Gyeol, Lee, Yong-Seuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304966/
https://www.ncbi.nlm.nih.gov/pubmed/34359308
http://dx.doi.org/10.3390/diagnostics11071225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304966/
https://www.ncbi.nlm.nih.gov/pubmed/34359308
http://dx.doi.org/10.3390/diagnostics11071225

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