Predictive Disease Modelling of Differentially Private Health Data

Authors(1) :-Nitha V R

There is a range of fitness bands, smart watches and accessories that help you to track your steps, heart rate, weight, blood pressure, pulse rate, water intake, number of calories burned, location etc. Fitbit is such a company which has products in two main categories: smart watches and fitness trackers. Fitbit is a wearable wireless device that can recognize your running rate, biking speed and even swimming rate thereby monitoring your progress day by day or week by week and adjust your goals accordingly. If your Fitbit has GPS facility, you can see a map of your route, pace and elevation also. Fitbit use an algorithm to look for motions that indicate walking or running rate of a person. With the help of Fitbit dashboard, you can track your overall fitness and health.

Authors and Affiliations

Nitha V R
Department of Computer Science, Sree Narayana College, Cherthala, Alapuzha, Kerala, India

Fitbit, GPS, Differential Privacy

  1. https://en.wikipedia.org/wiki/Fitbit
  2. https://medium.com/georgian-impact-blog/a-brief-introduction-to-differential-privacy-eacf8722283b
  3. https://arxiv.org/pdf/1809.07750.pdf
  4. https://en.wikipedia.org/wiki/Machine_learning
  5. https://www.tutorialspoint.com/machine_learning_with_python/machine_learning_with_python_classification_algorithms_random_forest.htm

Publication Details

Published in : Volume 6 | Issue 2 | March-April 2020
Date of Publication : 2020-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 139-140
Manuscript Number : CSEIT206240
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Nitha V R, "Predictive Disease Modelling of Differentially Private Health Data", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.139-140, March-April-2020. |          | BibTeX | RIS | CSV

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