Survey on Smart Health Prediction System |
Author(s): |
| Sneha Sunil Patil , Dr. J. J. Magdum College of Engineering, Jaysingpur; Sneha Sunil Patil, Dr. J. J. Magdum College of Engineering, Jaysingpur; Shivani Sanjay Bhosale, Dr. J. J. Magdum College of Engineering, Jaysingpur; Ashwini Vijay Patil, Dr. J. J. Magdum College of Engineering, Jaysingpur; Gauri Dinkar Patil, Dr. J. J. Magdum College of Engineering, Jaysingpur |
Keywords: |
| Smart Health Prediction System, Naive Bayes algorithm, Data mining, Disease Prediction, Symptoms, Health Industry |
Abstract |
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The digital technology era demands the world to provide an excellent health system, in order to ensure the citizen and community to be alive and healthy. Although, health care is available to everyone in the world, there are still no healthcare system that is completely reliable and accurate to carefully diagnose patient on their current health issues. This Paper describe data mining techniques and its applications in medical. a large amount of a data cannot be processed by human in short time to make diagnosis, and treatment schedules. A major objective is to evaluate data mining technique in clinical and Health care applications to develop accurate decisions. |
Other Details |
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Paper ID: IJSRDV9I60142 Published in: Volume : 9, Issue : 6 Publication Date: 01/09/2021 Page(s): 177-179 |
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