Design of Disease Prediction System using Bayes Network with Android Application
S. Rajaprakash1, S. Muthuselvan2, K. karthik3, Vikrant Pradhan4, Abhay kumar5
1Dr. S. Rajaprakash, Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
2S. Muthuselvan, Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
3K. Karthik, Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
4Vikrant Pradhan Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
5Abhay kumar Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
Manuscript received on 11 April 2019 | Revised Manuscript received on 16 May 2019 | Manuscript published on 30 May 2019 | PP: 667-671 | Volume-8 Issue-1, May 2019 | Retrieval Number: F2804037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Health is a major concern in the current era. It is more evident in a developing and dense country like India. The number of patients highly exceeds the treatment facilities that are available at any given instance. Moreover the growing medical expenses for checks up are ever rising. Due to this the lower-class masses which comprises of major portion of the population do not get the care they deserve. Due to the population density the incoming patients are more in general hospital, so it difficult to manage out patients which leads lot issue. Bayes network in machine learning one of the important methods to prediction method and also good output over vagueness data. To overcome the above issue, diseases prediction system are framed using Naive bayes network are framed with help of android application. It will be useful for the out patients and doctors. Android development as the front end that serves the user with the basic UI for the input of symptoms and outputting the predicted output.
Index Terms: Bayes Network, Android Application, Diseases Prediction.
Scope of the Article: Health Monitoring and Life Prediction of Structures