ID 3 Algorithm Performance of Diagnosis For Common Disease

Data mining is the process of collecting, searching through, and analyzing a large amount of data in a database, as to discover patterns or relationships. The diagnosis of disease ia a energetic and tricky job in madicine domain. The credit of common disease from dissimilar landscapes or marks is a multilayered problem that is not free false expectations and is recurrently attenreted by preciptate effects. Now day’s people have been suffering from many common diseases like diabetes, pulmonary blockage, anemia, parasitic infectious diseases etc., at the same time people may get scared about their health conditions in a wide range. Hen ce they may take wrong decision regarding which disease they have been suffered from. This is kept in mind as a serious iss ue and we have used data mining as a tool to overcome this issue. Technically data mining can be used in finding co – relations at patterns in large types of fields, which is used in this paper for effective diagnosis of wide range at diseases along with their symptoms.