Browsing by Author "Teferi, Dereje (Associate Professor)"

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    Application of Data Mining Techniques to Discover Cause of Under-five Children Admission to Pediatric Ward: The case of Nigist Eleni Mohammed Memorial Zonal Hospital
    (Addis Ababa University, 2012-06) Dileba, Temesgen; Teferi, Dereje (Associate Professor)
    Background: - Health care system is potential area to apply and take the advantage of data mining. Higher priority is given for the prevention and control of preventable disease at home or community level. However, for seriously ill children admissions should be facilitated in order to save the life of the child. Objectives: - The objective of this study is to apply data mining techniques on under five children dataset in developing a model that support the discovery of the causes for under-five children admission to pediatric ward. Methodology: - Cross industry standard process for data mining process model was applied. Major processes covered were business understanding, data understanding, data preprocessing, modeling and evaluation. Decision tree and artificial neural network algorithms were tested for classification tasks in Waikato Environment for Knowledge Analysis. Exploratory data analysis techniques, graphs and tabular formats for visualization and accuracy, true positive rate, false positive rate, receiver operating characteristic and the idea of experts were used for evaluation of the model. The dataset used was records in integrated registration log book in under-five outpatient department. Result: - The decision tree algorithm J48 has higher accuracy (94.77%), weighted true positive rate (94.7%), weighted false positive rate (5.3%), weighted receiver operating characteristics (0.99) and performs much faster than multilayer perceptron. According to interesting rules in J48 presenting complaint of not taking any food, fluid or breast feeding (98.32%), low weight for age without sunken eyes (92.31%) and very low weight for age but not in association with restless or irritable (98.33%) are among the cause of under-five children admission to pediatric ward without any consideration of health information management system admission disease classification. Conclusion: - In conclusion, encouraging results are obtained in classification tasks, data mining technique is applicable on pediatric dataset in developing a model that support the discovery of the causes of under-five children admission to pediatric ward. The outcome of this study serves primarily users in the domain area, decision makers and planners.
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    A Web-Based National Data Center Framework to Integrate Health Related Publications in Ethiopia
    (Addis Ababa University, 2012-06) Atnafu, Birhan; Zergaw, Ababi (PhD); Teferi, Dereje (Associate Professor)
    Background—Managing and integration health information has been possible and improved through different technologies such as web-based systems and computer applications. The objective of this study is to search for a solution to integrate health related publications from various nationwide hospitals and health associations and institutes using a central web-based national data center for publications to mobilize the new fragmented, but inter-related health publications. Methods— There are many hospitals, health associations and institutes throughout Ethiopia; but the activities in these institutes within health care delivery and management are almost similar. Therefore, variables and definitions for activities are almost identical for the proposed Web-based National Data Center application. For this reason, only limited numbers of health institutes are taken from Addis Ababa for data gathering using purposive and stratified sampling methods. Data were collected and analyzed to obtain representative input requirements to design the new system. Based on the results of the analysis, common services, practices, information technology usage, locally available and international health websites and publications were identified; methods for data security are assessed, interpreted and devised.. Results — This is the first web-based national data center proposed to integrate health related publications from local and foreign sources in Ethiopian context. The health sector is vast and broad that encompasses different resources. In this thesis, based on the results of the requirements analysis, the web-based national data center for health related publications system is proposed as a solution for integration of health related publications. Only one of the segments of the health resources, publication, is addressed using web-based application. Even though there are many services which can be done in the same area yet, the researcher believes that this application may serve as a pilot to design and implement a full-fledged system. Therefore, this application is open, flexible and amendable for any change which is found to be essential. Key Words: Data center, Databank, web-services, web-based application in Health, Web-based Health publication, Ethiopia and ICT, Health publication Database.