Knowledge Discovery in Health Care Datasets Using Data Mining Tools

Abstract

Non communicable diseases (NCDs) are the biggest global killers today. Sixty-three percent of all deaths in 2008 – 36 million people – were caused by NCDs. Nearly 80% of these deaths occurred in low- and middle-income countries, where the highest proportion of deaths under the age of 70 from NCDs occur [1]. The commonness of NCDs, and the resulting number of related deaths, are expected to increase substantially in the future, particularly in low and middle-income countries, due to population growth and ageing, in conjunction with economic transition and resulting changes in behavioral, occupational and environmental risk factors. NCDs already disproportionately affect low and middle-income countries. Current projections indicate that by 2020 the largest increases in NCD mortality will occur in Africa, India and other low and middle-income countries [2]. Computer-based support in healthcare is becoming ever more important. No other domain has so many innovative changes that have such a high social impact. There has already been a long standing tradition for computer-based decision support, dealing with complex problems in medicine such as diagnosing disease, managerial decisions and assisting in the prescription of appropriate treatment. As we know that “Research is for the people not for yourself” so we are pleased to work for the healthcare and hence for the society and ultimately the MANKIND.