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

Authors: Dimitrios A. Gatsios; Kostas M. Tsiouris; Dimitrios I. Fotiadis; Dimitrios Kikidis; Athanasios Bibas; Christos Nikitas; Doris Eva Bamiou; +6 Authors

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

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.

Country
Belgium
Keywords

Human medicine

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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