Diabetes Detection System by Mixing Supervised and Unsupervised Algorithms

Diabetes mellitus is also called gestational diabetes when a woman has high blood sugar while pregnant. It can show up at any time during pregnancy and cause problems for the mother baby or after pregnancy. If risks are found dealt with as soon possible, there chance that they be reduced. The healthcare system one of many parts our daily lives being rethought thanks to creation intelligent systems by machine learning algorithms. In this article, hybrid prediction model suggested determine if diabetes. recommended reduces amount data using K-means clustering method. Predictions made several classification methods, such decision trees, random forests, SVM, KNN, logistic regression, naive Bayes. results accuracy increases used together.