Paper Info
Title
Multiparametric Data Analysis For Diagnostic Decision Support In Balance Disorders
Abstract
In this work we present a framework for the analysis and mining of multiparametric data related to balance disorders. The overall concept is to define the schema of the analysis that provides optimal results for diagnostic decision support in balance disorders. The work is part of the integrated EMBalance platform which targets the management of patients with balance disorders, from the diagnosis to treatment and evolution of the disease. The obtained results in four different balance disorders range from 76.4% to 92.1%.
Year
Venue
Field
2016
2016 3RD IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS
Information system,Data mining,Disease,Decision support system,Balance disorders,Artificial intelligence,Statistical classification,Schema (psychology),Medicine,Machine learning
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
2
17
Name
Order
Citations
PageRank
Themis P Exarchos123524.31
George Rigas27211.38
Athanasios Bibas354.01
Dimitrios Kikidis423.09
Christos Nikitas521.74
Floris L. Wuyts621.74
Berina Ihtijarevic721.40
Leen Maes821.74
Massimo Cenciarini9164.18
Christoph Maurer1021.40
Nora Macdonald1121.74
Doris Eva Bamiou1222.75
Linda Luxon1322.07
Marios Prasinos1432.76
George Spanoudakis151057108.40
Dimitrios Koutsouris162516.43
Dimitrios I. Fotiadis17941121.32