Evaluation of several classification methods in carpal tunnel syndrome


Sayin R., Keskin S., Hamamci M.

JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION, vol.67, no.11, pp.1654-1657, 2017 (Peer-Reviewed Journal) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 67 Issue: 11
  • Publication Date: 2017
  • Journal Name: JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.1654-1657
  • Keywords: Carpal tunnel syndrome, Entrapment neuropathy, Electromyography, Naive Bayes, SUPPORT VECTOR MACHINES, NEUROMUSCULAR DISORDERS, NEURAL-NETWORK, DIAGNOSIS

Abstract

Objective: To investigate the performance and effectiveness of 4 classification methods including support vector machine, naive Bayes, classification tree, and artificial neural network in the detection of carpal tunnel syndrome.