Proceedings of the 2014 International Conference on Computer Science and Electronic Technology

the modeling of college students’ psychological health based on statistical analysis

Authors
Huiling Wang
Corresponding Author
Huiling Wang
Available Online January 2015.
DOI
10.2991/iccset-14.2015.61How to use a DOI?
Keywords
college students; psychological monitoring; abnormal behavior
Abstract

In order to further characterize the conditions of the college students’ psychological health, this paper proposes the college students’ psychological health models based on the statistical analysis techniques, which begin with the psychological issues triggered by the trivial events in the everyday life, consider the individual psychological abnormalities as the driving forces and analyze the impacts of the events relevance on students’ psychological issues. The experimental results demonstrate the performance and impacts of the statistical analysis model for college students’ individual psychological formation.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
978-94-62520-47-9
ISSN
2352-538X
DOI
10.2991/iccset-14.2015.61How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Huiling Wang
PY  - 2015/01
DA  - 2015/01
TI  - the modeling of college students’ psychological health based on statistical analysis
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 282
EP  - 285
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.61
DO  - 10.2991/iccset-14.2015.61
ID  - Wang2015/01
ER  -