Ethiopia
Research Article
Application of Data Mining to Predict the Likelihood of Contraceptive Method Use among Women Aged 15-49 Case of 2005 Demographic Health Survey Data Collected by Central Statistics Agency, Addis Ababa, Ethiopia
Author(s): Tesfahun Hailemariam, Abraham Gebregiorgis, Million Meshesha and Wubgzier MekonnenTesfahun Hailemariam, Abraham Gebregiorgis, Million Meshesha and Wubgzier Mekonnen
Introduction: In Ethiopia a gap between knowledge and use of contraceptive method is observed from many studies. According to the 2005 Ethiopian Demographic Health survey report the knowledge about any modern method among women is 86%, Contraceptive Acceptance Rate is 50.1% whereas the Contraceptive Prevalence Rate is 13.9%.
Methods: In order to find and interpret patterns from data the KDD process model is employed. This has gone through the steps of the process model; data selection and understanding, pre-processing, transformation, data mining, interpretation and evaluation. Decision tree and Naïve Bayes are used for the purpose of classification. The dataset used in this study is the 2005 demographic health survey data collected by central statistics agency. The techniques are tested both on the balanced and unbalanced datasets... Read More»
DOI:
10.4172/2157-7420.1000274
Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report