Machine learning model based on survey assessment of sleep quality in chronic obstructive pulmonary disease patients.

Journal: PloS one
Published Date:

Abstract

PURPOSE: The aim is to develop a learning model based on clinical and survey data to assess sleep quality and identify determining factors affecting sleep quality in chronic obstructive pulmonary disease (COPD) patients.

Authors

  • Miraç Öz
    Department of Chest Diseases, Faculty of Medicine, Ankara University, Ankara, Türkiye.
  • Banu Eriş Gülbay
    Department of Chest Diseases, Faculty of Medicine, Ankara University, Ankara, Türkiye.
  • Barış Bulut
    Department of Chest Diseases, Faculty of Medicine, Ankara University, Ankara, Türkiye.
  • Elif Akıncı Aydınlı
    Department of Chest Diseases, Faculty of Medicine, Ankara University, Ankara, Türkiye.
  • Aslıhan Gürün Kaya
    Department of Chest Diseases, Faculty of Medicine, Ankara University, Ankara, Türkiye.
  • Öznur Yıldız
    Department of Chest Diseases, Faculty of Medicine, Ankara University, Ankara, Türkiye.
  • Turan Acıcan
    Department of Chest Diseases, Faculty of Medicine, Ankara University, Ankara, Türkiye.
  • Sevgi Saryal