Browsing by Author "Zewditu Sisay"

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    A Case Based Reasoning Knowledge Based System for Type II Diabtes Management: Case of Desire Referral Hospital
    (Addis Ababa University, 2011-11-01) Zewditu Sisay; Getachew Jemaneh
    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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    A Case Based Reasoning Knowledge Based System For type II Diabtes Management: Case of Dessie Refreal Hospital
    (Addis Ababa University, 2011-11) Zewditu Sisay; Getachew Jemaneh
    Diabetes mellitus (OM) is a common chronic disease around the world in which the body does 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 artifact that promotes software reuse for building CBR systems. jCOLlBRl employed Nearest Neighbor Retrieval algorithm for retrieval and propose the most similar cases for reuse. Manual revision is done 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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    Burnout and its Coping Mechanisms among Health Workers in St. Paul’s Hospital, Addis Ababa
    (Addis Ababa University, 2023-01) Zewditu Sisay; Mulat Asnake (PhD)
    The purpose of this study was to assess burnout and its coping mechanisms among health workers. The study was conducted in St. Paul’s Hospital Millennium Medical College, in Gulele sub city Addis Ababa. The study aimed at exploring the prevalence of burnout faced by health workers working in SPHMMC, identify burnout level between departments, identifying coping strategies used by respondents to cope with stressful situations in their day to day life, identify coping strategies based on gender, and provide recommendation. The target populations of this study were professional nurses and midwives employed in SPHMMC. The study involved a quantitative research, and stratified random sampling technique that was used to select the respondents of the study, the 55 departments of the hospital further stratified in to three groups, high flow, mild flow, and low flow on the base of the amount of patients they provide service to. Among the total of 972 nurses and midwives who are active in their work, 312 were selected to be participant of this study and to select the participants Solvin’s formula was used which is a random sampling technique. However, because of non-response from 312 questionnaires distributed 288 were gathered and used for the study. The data was gathered using a questionnaire, by adapting Maslach’s Burnout Inventory and COPE Inventory scales. Then the data was analyzed using a descriptive statistics that consist of frequency, and percentage, as well as computing variables by comparing means using independent sample t-test and one way ANOVA. Finding of the study showed that, there is a medium level of exhaustion (44.1%), and low level of de personalization (58.3%), and a high level of personal achievement in respondents (53.1%), as a result the study concludes that there is no burnout in SPHMMC. The study findings on the level of difference between the strata’s shows that burnout level between the three strata does not have a significant difference (F2, 228 = 2.265, .176, and .816, p > .005), as a result, equal variance was assumed. Further, because the findings indicate that there is no burnout problem, the coping strategy of participants assessed separately to other stressful situations. And the study discovered that health care workers in SPHMMC use more problem focused strategy to cope with burnout in their work with a 2.6498 mean. The study further assess coping strategy based on gender and find that; for problem focused coping, there were significantly no differences between male and female, as such there is equal variance. For emotion focused coping the result indicate that there are significant differences, hence, there is no equal variance between male and female. And f for avoidance coping also the result shows significant differences, therefore, there is no equal variance between male and female respondents in using avoidance coping strategy.