Case studies on the clinical applications using case-based reasoning

Ahmed, Mobyen Uddin (author): Mälardalens högskola,Akademin för innovation, design och teknik,IS

Begum, Shahina (author): Mälardalens högskola,Akademin för innovation, design och teknik,IS

Funk, Peter (author): Mälardalens högskola,Akademin för innovation, design och teknik,IS

(creator_code:org_t)

2012
2012
English.
In: 2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012. - 9781467307086 - 9788360810514 ; , s. 3-10

Abstract Subject headings

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.

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