Synthesis of Diabetic Patients Dataset Using AINN Model

Abstract

A person is diabetic patient it means his body is not able to respond to insulin regularly. The diabetes disease may lead to other complications like Neuro problem, heart problem, blindness and kidney problem. The proper synthesis of data set of diabetic patients is required to solve the problem which further leads to be helpful in the treatment of the disease. In this article a mechanism is designed and introduced using Artificially Intelligent Neural Network (AINN). The AINN model is analyzing the activity of neurons and an algorithm called Quasi Newton algorithm to train the system. Finally a chart is produced to represent the cumulative score to justify the effectiveness of the model.