Journal of Health & Medical Informatics

Tesfahun Hailemariam

Publications

• Research Article
  Application of Data Mining Techniques to Predict Adult Mortality: The Case of Butajira Rural Health Program, Butajira, Ethiopia
  Author(s): Tesfahun Hailemariam, Million Meshesha and Alemayehu WorkuTesfahun Hailemariam, Million Meshesha and Alemayehu Worku
  
  Background: Though adults are care providers and risk takers of a society, reports indicate that adult mortality conditions are not given much emphasis. This is due to a widespread perception that mortality among adults is low. Every year, more than 7•7 million children die before their fifth birthday; however, nearly 24 million of adults die under the age of 70 years. Identifying major determinants for adult death helps to alleviate the loss of the productive group. Therefore, this research is aimed to apply data mining techniques to build a model that can assist in predicting adult health status. Methods: The hybrid model that was developed for academic research was followed. Dataset was preprocessed for data transformation, missing values and outliers. WEKA 3.6.8 data mining tools and techniques such as J48 decision tree and Naïve Bayes algorithms were employed to.. Read More»
  DOI: 10.4172/2157-7420.1000197

  Abstract PDF