Knowledge Extraction to Mitigate Child Malnutrition in Developing Countries (Sri Lankan Context)

Child malnutrition condition can be considered as a major health issue for a country since the children are the future workforce which directly affects the economic growth of the country. This impact is significant mainly in developing countries. This research is carried out with the purpose of reducing the prevalence of child malnutrition based on the SriLankan context with the analysis of the children under five years of age. Some hidden factors were extracted with the use of data mining tools and techniques. The design of the project is based on a conceptual framework which was constructed using the literature gathered. Decision tree technique in classification method was used for rule generation. By testing and validating the knowledge, preventive actions can be taken with the help of medical experts to reduce the malnutrition condition among children for applicable countries.