Improved Diabetic Data Analytic Model for Complication Prediction

2019 International Journal of Engineering and Advanced Technology  
Data Analytic model examines large datasets and reveals the hidden information like useful patterns and their correlations in it. Especially in the healthcare analytics accurate analysis and correct prediction would be much more important for prevention of further complications. The prediction here is based on the prior treatment details and readmission possibility based on the health condition from the Diabetes dataset. Upon aiming to analyze and predict the possibility of diabetes
more » ... iabetes complication, the diabetic data is preprocessed and analyzed using Decision Tree Algorithm. As per execution the accuracy of the algorithm is only 55% only. We improved the accuracy value to 84% by the application improved AdaBoost based ID3 algorithm. This enhanced system shows the improved result for accuracy precision, recall and F-measure.
doi:10.35940/ijeat.f1045.0886s19 fatcat:pkutaahql5dofprcuh7zbtssbu