Journal of Health & Medical Informatics

Feleke Doyore

Publications

• Research Article
  Predicting Under Nutrition Status of Under-Five Children Using Data Mining Techniques: The Case of 2011 Ethiopian Demographic and Health Survey
  Author(s): Zenebe Markos, Feleke Doyore, Martha Yifiru and Jemal HaidarZenebe Markos, Feleke Doyore, Martha Yifiru and Jemal Haidar
  
  Background: Under nutrition is one of the leading causes of morbidity and mortality in children under the age of five in most developing countries including Ethiopia. The main objective of this study was to design a model that predicts the nutritional status of under-five children using data mining techniques. Methods: This study followed hybrid methodology of Knowledge Discovery Process to achieve the goal of building predictive model using data mining techniques and used secondary data from 2011 Ethiopia Demographic and Health Survey (EDHS) dataset. Hybrid process model was selected since it combines best features of Cross-Industry Standard Process for Data Mining and Knowledge Discovery in Database methodology to identify and describe several explicit feedback loops which are helpful in attaining the research objectives. WEKA 3.6.8 data min.. Read More»
  DOI: 10.4172/2157-7420.1000152

  Abstract PDF