A Machine Learning-Based Screening Test for Sarcopenic Dysphagia Using Image Recognition.

Journal: Nutrients
PMID: 34836264

Abstract

BACKGROUND: Sarcopenic dysphagia, a swallowing disorder caused by sarcopenia, is prevalent in older patients and can cause malnutrition and aspiration pneumonia. This study aimed to develop a simple screening test using image recognition with a low risk of droplet transmission for sarcopenic dysphagia.

Authors

  • Kotomi Sakai
    Graduate School of Public Health, St. Luke's International University, Tokyo 104-0044, Japan.
  • Stuart Gilmour
    Graduate School of Public Health, St. Luke's International University, Tokyo 104-0044, Japan.
  • Eri Hoshino
    Comprehensive Unit for Health Economic Evidence Review and Decision Support (CHEERS), Research Organization of Science and Technology, Ritsumeikan University, Kyoto 600-8815, Japan.
  • Enri Nakayama
    Department of Dysphagia Rehabilitation, Nihon University School of Dentistry, Tokyo 101-8310, Japan.
  • Ryo Momosaki
    Department of Rehabilitation Medicine, Mie University Graduate School of Medicine, Tsu 514-8407, Japan.
  • Nobuo Sakata
    Setagaya Memorial Hospital, Tokyo 158-0092, Japan.
  • Daisuke Yoneoka
    Graduate School of Public Health, St Luke's International University, Tokyo, Japan.

Keywords

External Resources

Popular Topics
Recent Journals