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Smart Health Prediction using Machine Learning


Pooja Ghatge , Vivekanand Education Society's Institute Of Technology; Aaron Cherian, Vivekanand Education Society's Institute Of Technology; Piyush Mantri, Vivekanand Education Society's Institute Of Technology; Vidya Zope, Vivekanand Education Society's Institute Of Technology; Kartik Jadhav, Vivekanand Education Society's Institute Of Technology


Data Mining, Healthcare, Prediction System


The amount data in the health industry is increasing rapidly and is expected to increase drastically in coming years. Healthcare services although equipped with modern technologies for remedial the diseases grapple when it comes to preventing the diseases beforehand. Adoption of Machine Learning solutions will play an important role in transforming the outcomes of the healthcare industry by promoting facts based analysis and providing patient-centric manner. In this age of Data mining, we can provide solutions to identify individuals who are prone to certain lifestyle diseases. Think of identifying an individual having an increased risk of diabetes after 10 years, now. With the advent of new data analysis equipment and technologies, such analytical systems can be designed which can identify individuals with increased risk. This document provides an overview of data analytics, different technologies that can be used in data and its force on this field to make some useful predictions based upon analyzing a variety of datasets. Finally, we provide a model which can be used for predictive analytics using data mining and machine learning algorithms to predict the chances of a person to be prone to a disease.

Other Details

Paper ID: IJSRDV4I120231
Published in: Volume : 4, Issue : 12
Publication Date: 01/03/2017
Page(s): 289-291

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