Diabetic Patient Identification using Multiple Kernel Fuctions of Support Vector Machine Classifier

Diabetes is an unhealthy condition that has the potential to affect world health. Diabetes affects one out of every 10 persons worldwide. This figure might more than double by 2035. Diabetes is a condition that causes elevated insulin levels. Elevated insulin causes frequent urination, thirst, and hunger. One of the causes of stroke, confusion, heart failure, amputation, blindness, and kidney damage is diabetes.The new discipline of machine learning, which specializes in how computers learn from and use previous statistics, was taken from statistical science. The goal of this project is to add a tool that can quickly predict blood sugar for patients by combining the results of various devices that have knowledge of the process. In this case, the support vector machine algorithm is used.