Prediction of Diabetes Using Machine Learning Algorithm
4 Pages Posted: 1 Aug 2019
Date Written: August 1, 2019
Abstract
Diabetes mellitus has become a pandemic in both developed and developing countries. It is estimated that by 2030 diabetes affected people will be around 100 million in India. Diabetes is most common type of disease found in the people of age from 41 to 60 due to inheritance, unhealthy diet causing obesity, reduced Insulin resistance and negative effects caused due to urbanization. Limited knowledge about diabetes causes a various adverse effect in health and it is necessary to spread awareness about Diabetes. To address this problem a Diabetes prediction portal has been developed which is used to get a dichotomous outcome. PIMA India diabetes dataset is used, and machine learning is used to train the data and k nearest neighbours provided highest accuracy was thus used in deployment. Flask web framework was used to handle HTTP requests of the predictions. HTML page was created to display the predictions.
Keywords: Diabetes, PIMA, Flask, HTTP, Machine Learning Algorithms
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