Actions
  • shareshare
  • link
  • cite
  • add
add
auto_awesome_motion View all 6 versions
Publication . Article . Conference object . 2019

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

Dimitrios Gatsios; Kostas M. Tsiouris; Dimitrios I. Fotiadis; Dimitrios Kikidis; Athanasios Bibas; Christos Nikitas; Doris-Eva Bamiou; +6 Authors
Open Access
English
Abstract
Abstract: 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.
Subjects by Vocabulary

Microsoft Academic Graph classification: Vestibular system Headaches medicine.symptom medicine business.industry business Data mining computer.software_genre computer Recent onset Intervention (counseling) Healthcare system Vestibular rehabilitation Balance (ability) Proprioception

Subjects

Human medicine

Funded by
EC| HOLOBALANCE
Project
HOLOBALANCE
HOLOgrams for personalised virtual coaching and motivation in an ageing population with BALANCE disorders
  • Funder: European Commission (EC)
  • Project Code: 769574
  • Funding stream: H2020 | RIA
Validated by funder
moresidebar