DocumentCode :
183016
Title :
A decision support system based on fuzzy specialized rules for the Alzheimer disease
Author :
Zekri, Firas ; Ghorbel, Hamdi ; Bouaziz, Rafik
Author_Institution :
MIR@CL Lab., Univ. of Sfax, Sfax, Tunisia
fYear :
2014
fDate :
19-21 Aug. 2014
Firstpage :
490
Lastpage :
496
Abstract :
Since Alzheimer´s Disease (AD) has a huge socio-economic impact, attempts to reduce this impact are being searched. However, studies on AD have shown that the fight against this disease requires a great effort of several actors who should contribute to the success of the patient care process. As computer scientists, we aim to contribute to this fight by assisting the decision-makers in the AD domain to choose the optimal decision in each given situation. Our objective is to capitalize knowledge so that we can provide more powerful and more efficient systems. We then propose an approach to build AD Clinical Decision Support Expert Systems (CDSES) based on the fuzzy specialization of the knowledge of this disease.
Keywords :
decision support systems; diseases; fuzzy reasoning; medical expert systems; medical information systems; socio-economic effects; AD clinical decision support expert systems; AD domain; Alzheimer disease; CDSES; fuzzy specialized rules; knowledge capitalization; optimal decision; patient care process; socio-economic impact; Alzheimer´s disease; Cognition; Decision support systems; Knowledge based systems; Medical diagnostic imaging; Alzheimer disease; Clinical decision support system; Expert system; Fuzzy logic; Knowledge specialization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5147-5
Type :
conf
DOI :
10.1109/FSKD.2014.6980883
Filename :
6980883
Link To Document :
بازگشت