Exarchos, TP;
Rigas, G;
Bibas, A;
Kikidis, D;
Nikitas, C;
Wuyts, FL;
Ihtijarevic, B;
... Fotiadis, DI; + view all
(2016)
Mining balance disorders' data for the development of diagnostic decision support systems.
Computers in Biology and Medicine
, 77
pp. 240-248.
10.1016/j.compbiomed.2016.08.016.
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Abstract
In this work we present the methodology for the development of the EMBalance diagnostic Decision Support System (DSS) for balance disorders. Medical data from patients with balance disorders have been analysed using data mining techniques for the development of the diagnostic DSS. The proposed methodology uses various data, ranging from demographic characteristics to clinical examination, auditory and vestibular tests, in order to provide an accurate diagnosis. The system aims to provide decision support for general practitioners (GPs) and experts in the diagnosis of balance disorders as well as to provide recommendations for the appropriate information and data to be requested at each step of the diagnostic process. Detailed results are provided for the diagnosis of 12 balance disorders, both for GPs and experts. Overall, the reported accuracy ranges from 59.3 to 89.8% for GPs and from 74.3 to 92.1% for experts.
| Type: | Article |
|---|---|
| Title: | Mining balance disorders' data for the development of diagnostic decision support systems |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.compbiomed.2016.08.016 |
| Publisher version: | https://doi.org/10.1016/j.compbiomed.2016.08.016 |
| 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: | Science & Technology, Life Sciences & Biomedicine, Technology, Biology, Computer Science, Interdisciplinary Applications, Engineering, Biomedical, Mathematical & Computational Biology, Life Sciences & Biomedicine - Other Topics, Computer Science, Engineering, Balance Disorders, Data Mining, Decision Support Systems, Vestibular System, Otoneurological Data, Expert-System, Vertigo, Rules |
| 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.ucl.ac.uk/id/eprint/1516950 |
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