Sexual Transmitted Infections Management Knowledge Base System: Syndromic Approach
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Date
2009-10
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Addis Ababa University
Abstract
This study is based on developing an Artificial Intelligence program called Knowledge
Base System (KBS). It describes an investigation of the conventional Sexual Transmitted
Infections (STI) syndromic approach problems, opportunities and the alternative
approach to manage STI.
The conventional approach which is currently used for managing STL as evidences
indicated, has little impact on STI management or neither reduces most curable STI nor
HIV transmission. In addition to this, stigmatizing those who visit, unnoticed
asymptomatic STI inflections and difficulty of notifying and managing sexual partner are
other drawbacks of the conventional approach. Thus, significant portions of the
population, especially young people, still remain under information poverty about STI.
According to FHI (2001), a comprehensive approach to manage STI is crucial to
alleviate such problems by promotion of partner treatment, prevention of reinjection,
improve health care seeking behavior, effective STI detection, and increase
awareness of Symptoms or risk One way considered here is designing and
developing a prototype of KBS called Sexual Transmitted reflections Knowledge Base
System (SeTIKoBS). To build this system more than 16 medical staff, nine patients and
twenty-jive historical cases were involved. Moreover to assess SeTIKoBS performance
for the task for which it is designed, two evaluation techniques were used.
From the experiment undertaken, SeTIKoBS evaluators judge the system effectiveness as
an average rating of 87. 3 percent to manage STI which indicate a success and in some
situations it is also noteworthy that the system is able to provide more accurate
management than using conventional methods.
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Information Science