Sexual Transmitted Infections Management Knowledge Base System: Syndromic Approach
| dc.contributor.advisor | Biru, Tesfaye (PhD) | |
| dc.contributor.author | Demere, Hailu | |
| dc.date.accessioned | 2020-06-05T10:56:28Z | |
| dc.date.accessioned | 2023-11-18T12:45:16Z | |
| dc.date.available | 2020-06-05T10:56:28Z | |
| dc.date.available | 2023-11-18T12:45:16Z | |
| dc.date.issued | 2009-10 | |
| dc.description.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. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/21447 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Information Science | en_US |
| dc.title | Sexual Transmitted Infections Management Knowledge Base System: Syndromic Approach | en_US |
| dc.type | Thesis | en_US |