Design of disease prediction system using bayes network with android application

Rajaprakash, S. (56023839800) and Muthuselvan, S. (57203628671) and Karthik, K. (58238388600) and Somasundaram, K. (57196055256) and Pradhan, Vikrant (57209466994) and Kumar, Abhay (57206267191) (2019) Design of disease prediction system using bayes network with android application.

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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. © 2019 Elsevier B.V., All rights reserved.

Item Type: Article
Subjects: Computer Science > Artificial Intelligence
Divisions: Arts and Science > School of Arts and Science, Chennai > Computer Science
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 11 Dec 2025 05:59
URI: https://vmuir.mosys.org/id/eprint/4648

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