The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 29-126
Full Name: Shahina Begum
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: Mälardalen University, Box 883, 721 23 Västerås
Country: SWEDEN
Tel: 004621107335
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Fax:
E-mail address: shahina.begum@mdh.se
Other E-mails: mobyen.ahmed@mdh.se
Title of the Paper: Case-based systems in health sciences - a case study in the field of stress management
Authors as they appear in the Paper: Shahina Begum, Mobyen Uddin Ahmed, Peter Funk
Email addresses of all the authors: shahina.begum@mdh.se,mobyen.ahmed@mdh.se,peter.funk@mdh.se
Number of paper pages: 10
Abstract: Now-a-days medical domain is a popular area for the artificial intelligence (AI) research. Many of the early AI systems were attempted to apply rule-based reasoning in developing computer-based diagnosis system in medical domain. However, for a broad and complex medical domain the effort of applying rule-based system has encountered several problems. Today many systems are serving multi-purpose i.e. tend to support not only in diagnosis but also in number of other complex tasks and combining more than one AI techniques in the health care domain. In this paper, we will investigate the state-of-the art of case-based reasoning (CBR), a recent AI method in the medical domain. A case study in the stress medicine domain is presented here. Today stress has become a major concern in our society. The demand of the decision support system (DSS) in stress domain is increasing rapidly. However, the application of DSS in this domain is limited so far due to the weak domain th!
eory. In our on going research, we have proposed a solution analyzing the relation between stress and finger temperature using case-based reasoning and other AI techniques namely case-based reasoning, textual CBR, rule-based reasoning, and fuzzy logic to support classification and diagnosis in stress management.
Keywords: Case-based reasoning, Medical domain, Stress, Fuzzy logic, Classification and Diagnosis
EXTENSION of the file: .pdf
Special (Invited) Session: Multi-modal and multi-purpose case-based reasoning in the health sciences
Organizer of the Session: 609-681
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