Different medical data mining approaches based prediction of ischemic stroke

ARSLAN A. K., ÇOLAK C., SARIHAN M. E.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.130, ss.87-92, 2016 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 130
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.cmpb.2016.03.022
  • Dergi Adı: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.87-92
  • Anahtar Kelimeler: Ischemic stroke, Medical data mining, Penalized logistic regression, Stochastic gradient boosting, Support vector machine, LOGISTIC-REGRESSION, MODELS, CLASSIFICATION
  • İnönü Üniversitesi Adresli: Evet

Özet

Aim: Medical data mining (also called knowledge discovery process in medicine) processes for extracting patterns from large datasets. In the current study, we intend to assess different medical data mining approaches to predict ischemic stroke.