원문정보
초록
영어
In this paper, we present a work consisting of conceiving and realizing a decision making support system for the clinical decision. Being based on Case-Based Reasoning (CBR) the system will highlight the impact of this technique in the clinical decision making domain. The experience has its importance in medicine, and the nature of CBR has motivated us to use it for the diagnosis and the therapy of a very grave respiratory disease bound to tobacco, for instance the Chronic Obstructive Pulmonary Disease (COPD). Our approach proposes to apply a CBR process by modeling the adaptation phase with an independent component: an expert system using forward chaining. For the retrieval phase, some heuristics have been traced for estimating the similarity on missing data and symbolic descriptors. Preliminary experimentations show that the expert system models well the adaptation task and gives satisfactory answers to the user. For the retrieval phase, our heuristic functions have proved a good impact on the results.
목차
1. Introduction
2. Case-Based Reasoning
2.1. CBR Process
2.2. CBR in Medicine
3. Related Works
4. The Proposed Model
4.1. Field of Application: COPD
4.2. Architecture of the Proposed Model
4.3. Case Representation
4.4. Retrieval Phase
4.5. Reuse Phase by RBR Module
4.6. Revise and Retain Phases
5. Implementation and Results
5.1. Missing Data
5.2. Symbolic Descriptors
5.3. Reuse Phase by RBR Module
6. Conclusion
References