ANALYZING THE DISEASES AND AIR POLLUTION PROBLEMS OF CHILDREN USING DATA MINING TECHNIQUES

ABSTRACT To understand the impact of diseases in the children in various age groups and comprehend its effects on various organs in the children. To harness the power of data mining tool in analyzing huge reservoir of data set to derive better immunization programs for a particular age and to optimum use of vaccination according to a disease pattern among children. It helps in combating the diseases and providing knowledge about the kind of diseases the children are prone to in their children. In an increasing era of children population in the county, children care is of foremost importance and health of every child should be continuously monitored. Various factors contribute to the vulnerability of child's health, Lifestyle changes of the Indian youth, is the root problem to the deterioration of health issues High toxic contents in the junk foods and chocolates that the children consume is a cause for concern. Environmental changes and bad food habits result in declining of immune system levels in children leading to easy target for viruses and infections. Outdoor air pollution and continuous exposure to ambient air pollutants like particulate matter are among the leading contributors to adverse respiratory health outcomes all over the world. This association between air pollution and the impairment of respiratory functions is evident from number of epidemiological studies. Health risk from particulate pollution is especially high for some risk groups such as children and elderly persons, and those with diseases of lungs. However, there are still many issues to be clarified before we know the real causal relationship between air pollution and health effects. Specific air pollutants have not been identified as causes of health effects. This specific study has been conducted with an objective to evaluate the effects of air pollution on respiratory symptoms and diseases of children. Keywords : Air Pollution, respiratory illness, Decision Tree, Data mining, Classification.