Diabetes Diagnosis using different Data Pre processing Techniques

摘要

Diabetes is one of the chronic and fatal disease that occurs due to variations in the production of insulin and its use in the body which leads to high blood sugar levels and some long term complications. According to IDF report 2017, 425 million adults have been affected by diabetes worldwide. The effective Diabetes diagnosis can be made through the knowledge discovery of available medical records. The conventional approaches focus only on data mining techniques but lacks in proper data preparation and attribute feature selection. This paper aims to find solutions for the efficient data preparation technique with Decision trees for improved accuracy.