Evaluation of several classification methods in carpal tunnel syndrome

Sayin R., Keskin S., Hamamci M.

JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION, cilt.67, sa.11, ss.1654-1657, 2017 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 67 Sayı: 11
  • Basım Tarihi: 2017
  • Dergi Adı: JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1654-1657
  • Anahtar Kelimeler: Carpal tunnel syndrome, Entrapment neuropathy, Electromyography, Naive Bayes, SUPPORT VECTOR MACHINES, NEUROMUSCULAR DISORDERS, NEURAL-NETWORK, DIAGNOSIS
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

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.