A machine learning approach to determine the risk factors for fall in multiple sclerosis.

Journal: BMC medical informatics and decision making
PMID: 39080657

Abstract

BACKGROUND: Falls in multiple sclerosis can result in numerous problems, including injuries and functional loss. Therefore, determining the factors contributing to falls in people with Multiple Sclerosis (PwMS) is crucial. This study aims to investigate the contributing factors to falls in multiple sclerosis using a machine learning approach.

Authors

  • Su Özgür
    Ege University Faculty of Medicine, Department of Biostatistics and Medical Informatics, Turkey.
  • Meryem Koçaslan Toran
    Bahçeşehir University, Institution of Postgraduate Education, Istanbul, Türkiye.
  • İsmail Toygar
    Muğla Sıtkı Koçman University, Fethiye Faculty of Health Sciences , Fethiye, Muğla, Türkiye. ismail.toygar1@gmail.com.
  • Gizem Yağmur Yalçın
    Istanbul University-Cerrahpasa, Institute of Graduate Studies, Istanbul, Türkiye.
  • Mefkure Eraksoy
    Department of Neurology, Istanbul University Faculty of Medicine, Istanbul, Türkiye.

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