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Case Studies on the Clinical Applications using Case-Based Reasoning

Authors:

Mobyen Uddin Ahmed, Shahina Begum, Peter Funk

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

7th International Symposium Advances in Artificial Intelligence and Applications (AAIA12)

Publisher:

IEEE Xplore®

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 post-operative 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

Bibtex

@inproceedings{Ahmed2578,
author = {Mobyen Uddin Ahmed and Shahina Begum and Peter Funk},
title = {Case Studies on the Clinical Applications using Case-Based Reasoning},
editor = {Kwaœnicka Halina, Markowska-Kaczmar Urszula, Krawczyk Bartosz},
month = {September},
year = {2012},
booktitle = {7th International Symposium Advances in Artificial Intelligence and Applications (AAIA12)},
publisher = {IEEE Xplore®},
url = {http://www.es.mdu.se/publications/2578-}
}