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