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

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 confirmed...

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Detalles Bibliográficos
Autores principales: Park, Dougho, Kim, Byung Hee, Lee, Sang-Eok, Kim, Dong Young, Kim, Mansu, Kwon, Heum Dai, Kim, Mun-Chul, Kim, Ae Ryoung, Kim, Hyoung Seop, Lee, Jang Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408248/
https://www.ncbi.nlm.nih.gov/pubmed/34465860
http://dx.doi.org/10.1038/s41598-021-97043-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408248/
https://www.ncbi.nlm.nih.gov/pubmed/34465860
http://dx.doi.org/10.1038/s41598-021-97043-7

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