RESEARCH ARTICLE
Collaborative Case-Based Reasoning for Knowledge Discovery of Elders Health Assessment System
Ping Hu 1, *, Dong-xiao Gu 2, Yu Zhu 3
Article Information
Identifiers and Pagination:
Year: 2014Volume: 8
First Page: 68
Last Page: 74
Publisher ID: TOBEJ-8-68
DOI: 10.2174/1874120701408010068
Article History:
Received Date: 23/7/2014Revision Received Date: 7/8/2014
Acceptance Date: 8/8/2014
Electronic publication date: 29 /9/2014
Collection year: 2014
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Abstract
The existing Elders Health Assessment (EHA) system based on single-case-library reasoning has low intelligence level, poor coordination, and limited capabilities of assessment decision support. To effectively support knowledge reuse of EHA system, this paper proposes collaborative case reasoning and applies it to the whole knowledge reuse process of EHA system. It proposes a multi-case library reasoning application framework of EHA knowledge reuse system, and studies key techniques such as case representation, case retrieval algorithm, case optimization and correction, and reuse etc.. In the aspect of case representation, XML-based multi-case representation for case organization and storage is applied to facilitate case retrieval and management. In the aspect of retrieval method, Knowledge-Guided Approach with Nearest-Neighbor is proposed. Given the complexity of EHA, Gray Relational Analysis with weighted Euclidean Distance is used to measure the similarity so as to improve case retrieval accuracy.