A Case Based Reasoning Knowledge Based System for Type II Diabtes Management: Case of Desire Referral Hospital
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Date
2011-11-01
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Addis Ababa University
Abstract
Diabetes mellitus (DM) is a common chronic disease around the world in which the boas not produce insulin (type I diabetes) or does not properly use insulin (type II diabetes ) the study investigated the potential of case-based reasoning (CBR)approach for type II DM treatment CBR is an approach to artificial intelligence that is intended to mimic an approach that people typically use to solve problems this is the use of past experiences to reason about new situations
In order to acquire the knowledge the researcher conducted unstructured interviews with domain experts selected through expert sampling and other relevant documents then the knowledge is modeled using tree like structure called ladders patient history cards from dessie referral hospital in outpatient department (OPD)were the primary sources of cases. case attribute identification and weight assignment were done with the help of domain experts the case-based contained 42 type II DM cases and stored in plain text file (attribute value pair vector) the prototype is built using Jcolibri a software artifice that promotes software reuse for building CBR systems JCOLIBRI employed nearest neighbor retrieval algorithm for retrieval and propose the most similar cases for reuse manual revision is by the domain expert in order to adapt a stored case’s solution for a new case there is always incremental learning through retaining newly solved cases
The prototype performance is evaluated through statistical analysis and user feedbacks recall and precision were the main statistical performance measures using leave-one-out cross validation testing proportion the retrieval performance of the prototype showed average value of 69% recall and 46% precision domain experts were also evaluating the prototype using certain criteria
The main objective the research is to design and build CBR knowledge based system that retrieves relevant previously stored cases and proposes appropriate solution the developed prototype scores promising performance and user acceptance
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Keywords
Diabtes Management, Knowledge Based System, Case Based Reasoning