Chapter title |
Management and Modeling of Balance Disorders Using Decision Support Systems: The EMBALANCE Project
|
---|---|
Chapter number | 4 |
Book title |
GeNeDis 2014
|
Published in |
Advances in experimental medicine and biology, January 2015
|
DOI | 10.1007/978-3-319-09012-2_4 |
Pubmed ID | |
Book ISBNs |
978-3-31-909011-5, 978-3-31-909012-2
|
Authors |
Themis P Exarchos, Christos Bellos, Iliana Bakola, Dimitris Kikidis, Athanasios Bibas, Dimitrios Koutsouris, Dimitrios I Fotiadis, Themis P. Exarchos, Dimitrios I. Fotiadis, Exarchos, Themis P., Bellos, Christos, Bakola, Iliana, Kikidis, Dimitris, Bibas, Athanasios, Koutsouris, Dimitrios, Fotiadis, Dimitrios I. |
Abstract |
In this work, we present the concept, the methodological ideas and the architecture of the EMBALANCE platform. EMBALANCE platform extends existing but generic and currently uncoupled balance modeling activities, leading to a multi-scale and patient-specific balance Hypermodel, which is incorporated to a Decision Support System (DSS), towards the early diagnosis, prediction and the efficient treatment planning of balance disorders. Various data feed the intelligent system increasing the dimensionality and personalization of the system. Human Computer Interaction techniques are utilized in order to develop the required interfaces in a user-intuitive and efficient way, while interoperable web services enhance the accessibility and acceptance of the system. The platform will be validated using both retrospective as well as prospective experimental and clinical data. The final tool will be a powerful web-based platform provided to primary and secondary care physicians across specialties, levels of training and geographical boundaries, targeting wider clinical acceptance as well as the increased confidence in the developed DSS towards the early diagnostic evaluation, behaviour prediction and effective management planning of balance problems. Currently we focus and present the management and modeling of the balance disorders. |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
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Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 8 | 21% |
Researcher | 5 | 13% |
Professor > Associate Professor | 5 | 13% |
Student > Master | 5 | 13% |
Student > Doctoral Student | 3 | 8% |
Other | 6 | 16% |
Unknown | 6 | 16% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 6 | 16% |
Computer Science | 6 | 16% |
Psychology | 5 | 13% |
Engineering | 3 | 8% |
Nursing and Health Professions | 2 | 5% |
Other | 8 | 21% |
Unknown | 8 | 21% |