A prediction model based on artificial neural networks for the diagnosis of obstructive sleep apnea.

Journal: Sleep & breathing = Schlaf & Atmung
Published Date:

Abstract

BACKGROUND: Recently, artificial neural networks (ANNs) have been widely applied in science, engineering, and medicine. In the present study, we evaluated the ability of artificial neural networks to be used as a computer program and assistant tool in the diagnosis of obstructive sleep apnea (OSA). Our hypothesis was that ANNs could use clinical information to precisely predict cases of OSA.

Authors

  • Harun Karamanli
    Department of Pulmonology, Faculty of Medicine, Mevlana University, Aksinne Neighborhood Esmetas Street No: 16, 42040, Meram-Konya, Turkey. drharun@hotmail.com.
  • Tankut Yalcinoz
    Department of Electrical and Electronics Engineering, Mevlana University, Konya, Turkey.
  • Mehmet Akif Yalcinoz
    Barış Cad, Konya, 42003, Turkey.
  • Tuba Yalcinoz
    Barış Cad, Konya, 42003, Turkey.