Author:-Yusera Farooq Khan
Abstract:-
In this paper , a classification model is formed by means of cloud platform Microsoft Azure that predicts the happening of Diabetes in an individual on the basis of non-pathological parameters – age, sex, family history of being diabetic, smoking and consumption habits, frequency of dehydration and urination, weight height and tiredness. The model created using “Two-Class Neural Network Algorithm†has the highest accuracy and hence has been deployed as a service. Finally a GUI has been developed in python to access the service.
The advantage of this model over other classification model is its high exactness of prediction and it can be used by any individual for a pre-diabetic check without any prerequisite of the pathological information.
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