Evidence based subsequent disease extraction from EMR Health Record by Grade Measure

Subsequent disease extraction plays an important role in minimizing the risk of subsequent disease affected. Early and accurate diagnosis of subsequent, as well as regular monitoring is essential to meet treatment targets. Many traditional extraction methods are available to extract disease through data mining these days. It's only known and unknown disease is predicted through data mining here. This proposed method would be successful to find out disease and subsequent disease in the base of evidence. The evidence is checked from the existing patient EMR report. In additionally find subsequence disease of health indicators is extracted in graphical view. It lies 1.5 Odd Ratios (OR), 97 % Confidence Interval (CI) and 2.73 Average of Susceptible Infected Recovered (SIR).