Evaluation of several classification methods in carpal tunnel syndrome


Sayin R., Keskin S. , Hamamci M.

JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION, cilt.67, ss.1654-1657, 2017 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 67 Konu: 11
  • Basım Tarihi: 2017
  • Dergi Adı: JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION
  • Sayfa Sayıları: ss.1654-1657

Özet

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.