Gatsios, D;
Tsiouris, KM;
Fotiadis, DI;
Kikidis, D;
Bibas, A;
Nikitas, C;
Bamiou, DE;
... Exarchos, T; + view all
(2019)
When vestibular rehabilitation can assist: Findings with use of data mining.
In:
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).
IEEE
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | When vestibular rehabilitation can assist: Findings with use of data mining |
| Event: | 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) |
| Location: | Chicago (IL), USA |
| Dates: | 19th-22nd - May 2019 |
| ISBN-13: | 978-1-7281-0848-3 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/BHI.2019.8834471 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Psychology, Feature extraction, Data mining, Legged locomotion, Medical diagnostic imaging, Visualization, Hospitals |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > The Ear Institute |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10087500 |
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