Machine learning-based approach for disease severity classification of carpal tunnel syndrome

Machine learning-based approach for disease severity classification of carpal tunnel syndrome

Abstract Identifying the severity of carpal tunnel syndrome (CTS) is essential to providing appropriate therapeutic interventions. We developed and validated machine-learning (ML) models for classifying CTS severity. Here, 1037 CTS hands with 11 variables each were retrospectively analyzed. CTS was...

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Bibliographic Details
Main Authors: Dougho Park, Byung Hee Kim, Sang-Eok Lee, Dong Young Kim, Mansu Kim, Heum Dai Kwon, Mun-Chul Kim, Ae Ryoung Kim, Hyoung Seop Kim, Jang Woo Lee
Format: Article
Language:English
Published: Nature Publishing Group 2021-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-97043-7

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https://doi.org/10.1038/s41598-021-97043-7

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