Browsing by Author "Meshesha, Million(Dr.)"
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Item Application of Data Mining for Predicting Adult Mortality.(Addis Abeba University, 2012-06) Hailemariam, Tesfahun; Meshesha, Million(Dr.); Worku, Alemayehu(Dr.)Background: The fast-growing, tremendous amount of data, collected and stored in large and massive data repositories, has far exceeded human ability for comprehension without powerful tools. As a result, data collected in large data repositories become seldom visited. This in turn, calls the application of data mining technology. Every year, more than 7·7 million children die before their fifth birthday. However, over three times those of nearly 24 million adults die every year. Less attention has been given to adults which are the most productive phase of life for both economic and social ramification of families and countries. Objective: The general objective of this research is to construct adult mortality predictive model using data mining techniques so as to identify and improve adult health status using BRHP open cohort database. Methods: The hybrid model that was developed for academic research was followed. Dataset is preprocessed for missing values, outliers and data transformation. Decision tree and Naïve Bayes algorithms were employed to build the predictive model by using a sample dataset of 62,869 records of both alive and died adults through three experiments and six scenarios. Result: In this study as compared to Bayes, the performance of J48 pruned decision tree reveals that 97.2% of accurate results are possible for developing classification rules that can be used for prediction. If no education in family and the person is living in rural highland and lowland, the probability of experiencing adult death is 98.4% and 97.4% respectively with concomitant attributes in the rule generated. The likely chance of adult to survive in completed primary school, completed secondary school, and further education is (98.9%, 99%, 100%) respectively. Conclusion: The study suggests that education plays a considerable role as a root cause of adult death, followed by outmigration. Further comprehensive and extensive experimentation is needed to substantially describe the loss experiences of adult mortality in Ethiopia.Item Assessing knowledge management practice at EFMoH and its affiliate organizations, Ethiopia(Addis Abeba University, 2015-01) Amenashewa, Eskedar; Zergaw, Ababi(Dr.); Meshesha, Million(Dr.)Introduction: Knowledge management is the planning, organizing, motivating, and controlling of people, processes and systems in an organization to ensure that organizational knowledge related assets are improved and effectively employed. The study aims, to assess knowledge management practice, at the Federal Ministry of Health and its affiliate organizations in Ethiopia so as to design a mechanism for effective and efficient management of knowledge. Methodology: a descriptive cross-sectional study design employed to assess knowledge management practice in purposively selected organizations of Ethiopian Federal Ministry of Health and its affiliate organization by further correlating the existing knowledge management practices with the standard knowledge management practices that one institution need to have through structured self administered questions. The study included technical staffs in the target organization which would be selected randomly using lottery method from the total 99 case teams equivalent to one program staff from each case teams included in the study. Results: The study reviled that most of participants (78.2%) mentioned the organizations don‘t have knowledge management strategy and 92.2% of respondents mentioned there is no responsible person who can manage knowledge. Majority of the knowledge was existed in the form of tacit knowledge. The study also showed experiences of information technology in some of the organizations that need to be shared for other organizations where information technology infrastructure is important for knowledge sharing and capturing. Further the study indicated there is no statistical relation between socio-demographic factor and knowledge management practices in the organization which needs to be further studied. Conclusion: The study indicates the Federal Ministry of Health and its affiliate organizations needs to give emphasis on the importance‘s of knowledge management system to design and incorporate the strategies with other health sector . Recommendation:EFMoH and affiliate organization managers should create awareness about knowledge management, develop knowledge management strategy and guidelines and use mechanism for effective management of knowledge and tools which is suggested by this research.Item Developing Patient Record System for Health Centers in HABRU Woreda.(Addis Abeba University, 2012-11) Araya, Hiwot; Meshesha, Million(Dr.); Deressa, Wakgari(Dr.)Background: Electronic patient record system introduces valuable benefits in the health system especially in countries that have scarce resources, mostly developing countries.The recordsystem provides comprehensive, reliable, relevant, accessible and timely patient information to each member of the health care. This will enable the health workers in detecting health problems, defining priorities, identifying innovative solutions and allocating resources for better health outcomes. Objective: To this end, this study attempt to develop patient record system for Habru Woreda Health Centers that enables to improve the use of patient information for making sound decision and effective problem solving. Methodology: To achieve the objective of this study the investigator performs requirements identification by applying interview, observation and relevant document review techniques.Once the requirements are defined, object oriented system analysis and design methodology was employed. Analysis, design and implementation of the proposed system are performed usin g the UML tools for analysis and design, and C# programming language and Microsoft SQL for implementation stage of the prototype system. Result: The developed prototype Patient Record System for the health centers has the capability to capture and store health information produced from routine service of OPD, generate report and help the health workers in clinical management by providing clinical decision support through highlighting abnormal test results and alert for abnormal vital signs. System testing and user acceptance testing was also done in which encouraging result is registered. Conclusion: Automating the existing paper-based patient record system of the health centers plays a great role in improving the health service delivery of the country. As a prototype system the current study focuses only on automating the OPD of health centers and, hence further work will be expected that enhance the functionality of the system.