Different medical data mining approaches based prediction of ischemic stroke

ARSLAN A. K., ÇOLAK C., SARIHAN M. E.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol.130, pp.87-92, 2016 (SCI-Expanded, Scopus) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 130
  • Publication Date: 2016
  • Doi Number: 10.1016/j.cmpb.2016.03.022
  • Journal Name: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.87-92
  • Keywords: Ischemic stroke, Medical data mining, Penalized logistic regression, Stochastic gradient boosting, Support vector machine, LOGISTIC-REGRESSION, MODELS, CLASSIFICATION
  • Inonu University Affiliated: Yes

Abstract

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.