A Survey on Smart Health Predicting System with IoT |
Author(s): |
| Sarthak Bhale , KJ College of Engineering and Management Research,Pune; Dnyaneshwar Misal, KJ College of Engineering and Management Research,Pune; Akshay Patil, KJ College of Engineering and Management Research,Pune; Suraj Kule, KJ College of Engineering and Management Research,Pune; Prof. R. M. Kedar, KJ College of Engineering and Management Research,Pune |
Keywords: |
| K-means Clustering, ANN, Random Forest Algorithm |
Abstract |
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As the human life step towards the modern lifestyle all the sectors of life become more and more advanced, Health care is not spared from this. Internet of things actually plays vital role into this paradigm as it helps to collect and process the data from the wearable devices of patients. Many existing systems are there where these data is been monitored manually or by loosely coupled systems which yields less accurate results in prediction. The proposed system develops an application for the hospitals, users etc. to predict the health of users using ANN which is powered with K-means clustering along with the Random Forest Algorithm. |
Other Details |
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Paper ID: IJSRDV7I30893 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 1149-1150 |
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