Diagnosis of balance disorders using decision support systems based on data mining techniques

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2015-11-02 DOI:10.1109/BIBE.2015.7367688

T. Exarchos, K. Stefanou, G. Rigas, A. Bibas, D. Kikidis, Christos Nikitas, F. Wuyts, Berina Ihtijarevic, L. Maes, Massimo Cenciarini, C. Maurer, D. Iliopoulou, Nora Macdonald, D. Bamiou, L. Luxon, Marios Prasinos, G. Spanoudakis, D. Koutsouris, D. Fotiadis

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引用次数: 1

Abstract

In this work we present the decision support of the EMBalance platform. EMBalance is a platform for the management of balance disorders in terms of diagnosis, treatment and evolution. The EMBalance platform aims to extend existing but generic and currently uncoupled balance modelling activities leading to a multi-scale and patient-specific balance model, which will be incorporated in a Decision Support System (DSS), towards the early diagnosis, prediction and the efficient treatment planning of balance disorders. The diagnosis part of the decision support system uses various data ranging from demographic characteristics to clinical examinations, auditory and vestibular tests. Currently we present some initial technical choices and indicative results of the decision support system for diagnosing balance disorders, based on data mining techniques and clinical guidelines.

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基于数据挖掘技术的决策支持系统对平衡障碍的诊断

在这项工作中，我们提出了EMBalance平台的决策支持。EMBalance是一个在诊断、治疗和发展方面管理平衡障碍的平台。EMBalance平台旨在扩展现有但通用且目前未耦合的平衡建模活动，从而形成多尺度和患者特异性平衡模型，该模型将被纳入决策支持系统(DSS)，以实现平衡障碍的早期诊断、预测和有效治疗计划。决策支持系统的诊断部分使用各种数据，从人口统计学特征到临床检查、听觉和前庭测试。目前，我们提出了一些初步的技术选择和指示性结果的决策支持系统诊断平衡障碍，基于数据挖掘技术和临床指南。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)

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