Identifying Associations between Smartphone usage and Mental Health during Depression, Anxiety and Stress Using Mobile Social Network

Authors

  • Patel Farzana Fatima Yousuf Department of Computer Engineering, MIT College of Engineering
  • Kadam Rhutuja Department of Computer Engineering, MIT College of Engineering
  • Zende Tejaswini Department of Computer Engineering, MIT College of Engineering
  • Satpute Sonali Department of Computer Engineering, MIT College of Engineering
  • Prof. Sharmishta Desai Department of Computer Engineering , MIT College of Engineering, Pune

Keywords:

Reality Mining, Correlation and regression analysis, Psychology

Abstract

Mental health problems have become increasingly common these days. One of the major factors
contributing to this drastic health situation is the overwhelming increase in workload. This leads to stress and mood
instability. Due to stress and unstableness of personal mood, assessing and analyzing daily mood is both difficult and
inconvenient, which is a major challenge in mental health care. In this App, we propose a framework for analyzing mood
in daily life. We make use of uses mobile -phone data, his usage, to extract human behavior pattern and assess daily
mood .We interact with user by asking him questions, giving him some suggestions. Our approach helps user to lighten
their mood and feel happy. The proposed design is built on windows platform and uses id3 to analyze behavior. Here we
use Iterative Dichotomize decision tree algorithm that constructs decision tree by working on the data that is provided to
it by the user. It finds optimal solution in which the data set can be classified.

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Published

2016-05-25

How to Cite

Patel Farzana Fatima Yousuf, Kadam Rhutuja, Zende Tejaswini, Satpute Sonali, & Prof. Sharmishta Desai. (2016). Identifying Associations between Smartphone usage and Mental Health during Depression, Anxiety and Stress Using Mobile Social Network. International Journal of Advance Research in Engineering, Science & Technology, 3(5), 859–868. Retrieved from https://ijarest.org/index.php/ijarest/article/view/738

Issue

Vol. 3 No. 5 (2016): Volume: 03, Issue: 05 - May, 2016.

Section

Articles