Management of Emergency health care conditions in Healthcare centres. A CBR approach
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Date
2011Author
Ochieng, Elkanah Owino
Type
ThesisLanguage
enMetadata
Show full item recordAbstract
Case Base Reasoning is a subfield in Artificial Intelligence (AI), this is a methodology that
presents a foundation for a new technology of building intelligent computer aided diagnoses
(decision support) using past and previous knowledge or solutions to a given problem so as to
apply them to the current problem situation. Computer based knowledge management system
aids in providing stable decision support for managing emergency treatment cases in health care
centres.
Management of past knowledge can expedite the process of solving emergency treatment cases
that require routines or procedures for their proper management.
This document describes a system that uses Case Base Reasoning as a methodology to help in
treatment of anemic emergency cases during pregnancy in healthcare centres in rural Kenya that
are in deficit of expert doctors or health officers.
Since the treatment of the anemic cases are to be reasoned on the basis of similarity to past cases,
It is very important on how to evaluate properly the degree of similarity between a target patient
and past cases. Investigating the effect of similarity assessment on the performance of the
proposed system we used PATDEX system and Precision/Recall computational model which are
used as similarity metrics for case retrieval and case adaptation.
We evaluate the system by testing it with real symptoms and signs as the query case for the
diseases and examining how the performance of the system depends on the number of query
cases.
Citation
Masters of science in computer sciencePublisher
University of Nairobi School of Computing and Informatics
Subject
Case-Based Reasoninghealth worker
Doctor
Artificial Intelligence
health care
Emergency Medical case