DocumentCode :
2250511
Title :
Case studies on the clinical applications using case-based reasoning
Author :
Ahmed, Mobyen Uddin ; Begum, Shahina ; Funk, Peter
Author_Institution :
Sch. of Innovation, Malardalen Univ., Vasteras, Sweden
fYear :
2012
fDate :
9-12 Sept. 2012
Firstpage :
3
Lastpage :
10
Abstract :
Case-Based Reasoning (CBR) is a promising Artificial Intelligence (AI) method that is applied for problem solving tasks. This approach is widely used in order to develop Clinical Decision Support System (CDSS). A CDSS for diagnosis and treatment often plays a vital role and brings essential benefits for clinicians. Such a CDSS could function as an expert for a less experienced clinician or as a second option/opinion of an experienced clinician to their decision making task. This paper presents the case studies on 3 clinical Decision Support Systems as an overview of CBR research and development. Two medical domains are used here for the case studies: case_study_1) CDSS for stress diagnosis case_study_2) CDSS for stress treatment and case_study_3) CDSS for postoperative pain treatment. The observation shows the current developments, future directions and pros and cons of the CBR approach. Moreover, the paper shares the experiences of developing 3CDSS in medical domain in terms of case study.
Keywords :
artificial intelligence; case-based reasoning; decision support systems; medical computing; patient diagnosis; AI; CBR; CDSS; artificial intelligence; case based reasoning; clinical applications; clinical decision support system; Biological control systems; Cognition; Feature extraction; Medical diagnostic imaging; Pain; Stress; Temperature measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4673-0708-6
Electronic_ISBN :
978-83-60810-51-4
Type :
conf
Filename :
6354404
Link To Document :
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