International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Diabetes Prediction using Machine Learning

Daksh Ghatate, Sanket Bhoyar, Mohammed Rayyan, Madhurmeet Jadhav, Farhan Qureshi, Ima Rahman, Prof. Dr. M. S. Khatib

Abstract :

Diabetes is a chronic disease that has the potential to trigger a global health disaster. According to the International Diabetes Federation, 382 million people worldwide have diabetes. By 2035, this figure will have more than quadrupled to 592 million. The primary goal of this study is to create prediction model using the supplied medical data of diabetic and non-diabetic patients. The goal of this research is to develop hybrid model that clinicians may utilize to treat diabetes patients. Key characteristics such as Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function and Age were initially picked using the PIMA Indian Diabetes Dataset to build the prediction model. The dataset was divided into two sections: training and testing. Based on these data, we next used a random forest machine learning algorithm to predict whether the patient will be normal (non-diabetic), or diabetic.

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