Disease Prediction Model Using Decision Tree Algorithm

Information Technology is everywhere: in the government, in the academe, in military, in our social life and in health. Technology advancement in the field of health is in a high leap especially with the occurrence of highly contagious diseases that killed thousands already. I.T. is being employed in the search of cure, maintenance and monitoring. This research focus on the monitoring of diseases in the City of Caloocan, Philippines. It aims to determine the extent of a disease in the community and to use demographic, socio-economic profiles and medical history of residents to create a model that will predict occurrence of diseases using data mining-decision tree.