2. People are Struggling with diabetes and they afraid that
they have diabetes or not. usually diabetes indicates
symptoms in our body. people would be confused whether
it’s a diabetic symptoms or normal body symptoms.
This application which gonna help people to find whether
they are diabetic or not, by feeding medical values into this
application.
PROBLEM STATEMENT AND SOLUTION
3. 2
OVERVIEW
This application is a Diabetes predictor for people
of any age and it is especially useful for people with
insulin deficiency . This application asks for
medical details and values of the patients like
glucose level and the Machine learning model
which was trained with dataset will process the
values and it’ll predict the patient is diabetic or not
4. MACHINE LEARNING MODELS
Machine learning (ML) models can help medical
institutions identify diabetes patients. The results
of the study indicate that the SVM algorithm
performs better than the decision tree algorithm,
with an accuracy of 76.6% compared to 75%. This
work concludes that the SVM algorithm is more
accurate in predicting diabetes and can be a
valuable tool for early detection and management
of the disease.
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