High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Health Monitoring Android Application and Diabetes Prediction using Data Mining Techniques

Author(s):

Aishwarya Jagtap , RAMRAO ADIK INSTITUTE OF TECHNOLOGY; Kunal Jadhav, RAMRAO ADIK INSTITUTE OF TECHNOLOGY; Kaivalya Kanade, RAMRAO ADIK INSTITUTE OF TECHNOLOGY; Kriti Karanam, RAMRAO ADIK INSTITUTE OF TECHNOLOGY

Keywords:

Health Monitoring Android Application, Data Mining Techniques

Abstract

With the advancement in technology, there has been a tremendous growth in the medical industry all over the world. But even though the health care facilities have improved to a great extent, there has been an increase in the number of health problems. The main reason for this is hectic life of the people. The busy schedules of people have degraded the quality of life and has resulted in neglect towards health issues. In such an environment, where people are constantly using their phones, creating a personal health care android application can be very beneficial. This project seeks to apply the current knowledge and information and to create an android application which can be used by patients for management of their health care issues and would hence enable them to lead a better life. The applications also seeks to create a system for predicting whether a person has a risk of developing the disease diabetes in the next 10 years.

Other Details

Paper ID: IJSRDV5I40033
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 128-131

Article Preview

Download Article