DocumentCode :
3411056
Title :
A Knowledge-based Clinical Decision Support System for the diagnosis of Alzheimer Disease
Author :
Sanchez, E. ; Toro, C. ; Carrasco, E. ; Bonachela, P. ; Parra, Carlos ; Bueno, Gloria ; Guijarro, F.
Author_Institution :
eHealth & Biomed. Applic. Dept., Vicomtech-IK4, San Sebastian, Spain
fYear :
2011
fDate :
13-15 June 2011
Firstpage :
351
Lastpage :
357
Abstract :
Alzheimer Disease (AD) has become a major issue in developed countries due to medical advances that have extended the population longevity. Recent advances in early detection date the initial stages of AD several years before the first recognizable symptoms appear visible. While at present time, there has not been recognized a single cause for AD, the common approach to support the diagnosis is based on diagnostic image processing, psychological tests, neurological tests, etc. This method produces a large amount of data that has to be taken into account by the physicians when they perform their diagnosis. In this paper we present a Knowledge Engineering diagnosis support tool for the detection of AD where ontologies and semantic reasoning play a fundamental role. Our work is intended to aid physicians in the early detection of AD by using multidisciplinary knowledge gathered, and inference and reasoning over the underlying Knowledge Bases.
Keywords :
decision support systems; diseases; inference mechanisms; knowledge based systems; medical image processing; ontologies (artificial intelligence); patient diagnosis; Alzheimer disease; diagnostic image processing; knowledge engineering diagnosis; knowledge-based clinical decision support system; medical advances; neurological tests; ontologies; patient diagnosis; psychological tests; semantic reasoning; Cognition; Knowledge based systems; Medical diagnostic imaging; Medical services; Ontologies; Semantics; Terminology; Computer aided diagnosis; Decision support systems; Knowledge Based systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Health Networking Applications and Services (Healthcom), 2011 13th IEEE International Conference on
Conference_Location :
Columbia, MO
Print_ISBN :
978-1-61284-695-8
Electronic_ISBN :
978-1-61284-696-5
Type :
conf
DOI :
10.1109/HEALTH.2011.6026778
Filename :
6026778
Link To Document :
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