Handling imbalanced class problem for the prediction of atrial fibrillation in obese patient


ÇOLAK C. , KARAASLAN E. , ÇOLAK C. , ARSLAN A. K. , ERDİL N.

BIOMEDICAL RESEARCH-INDIA, cilt.28, ss.3293-3299, 2017 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 28 Konu: 7
  • Basım Tarihi: 2017
  • Dergi Adı: BIOMEDICAL RESEARCH-INDIA
  • Sayfa Sayıları: ss.3293-3299

Özet

Objective: Atrial Fibrillation (AF) is one of the important public health problems with elevated comorbidity, advanced mortality risk, and increasing healthcare costs. In this study, the objective is to explore and resolve the imbalanced class problem for the prediction of AF in obese individuals and to compare the predictive results of balanced and imbalanced datasets by several data mining approaches.