Published May 22, 2019 | Version v1
Journal article Open

When vestibular rehabilitation can assist: findings with use of data mining

  • 1. Unit of Medical Technology and Intelligent Information Systems University of Ioannina Ioannina, Greece
  • 2. First Department of Otolaryngology-Head and Neck Surgery, 'Hippokrateio' General Hospital National Kapodistrian University of Athens Athens, Greece
  • 3. UCL Ear Institute & University College London Hospitals Biomedical Research Centre Hearing & Deafness London, United Kingdom
  • 4. Department of Neurology University of Freiburg Freiburg, Germany
  • 5. Lab for Equilibrium Investigations and Aerospace University of Antwerp Antwerp, Belgium
  • 6. Department of Rehabilitation Sciences Ghent University Ghent, Belgium
  • 7. Department of Informatics Ionian University Corfu, Greece


Falls, caused by dizziness and balance deficits, and their consequences in terms of the resultant functional limitations and of the associated costs for the involved actors as well as for the healthcare system are a serious problem in modern societies. Vestibular rehabilitation therapy (VRT) is proposed as a personalized intervention both for ameliorating symptoms and for improving balance. The outcomes of the therapy are not the same in all patients and the reasons are explored in this study with data mining methods applied in two retrospective datasets. According to our findings, patients with unstable lesions, concurrent psychological problems and with headaches are poorer candidates for VRT. Patients with stable vestibular deficits, of recent onset and relatively intact psychological, acoustic, visual and proprioceptive systems are better candidates for VRT.



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HOLOBALANCE – HOLOgrams for personalised virtual coaching and motivation in an ageing population with BALANCE disorders 769574
European Commission