Prediction of Users Stress Related Health Problems using Social Networks |
Author(s): |
| Arya G Roy , RIT KOTTAYAM |
Keywords: |
| Convolution Neural Networks, Cross Auto Encoders, Factor Graph, Partial Graph Model |
Abstract |
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The health problems that would arise are identified. Stress a non-clinical condition of a person that changes with his/her environments. Its an emotional response of every person. Stress can cause good as well as bad effects on every users. Today’s stress shows its negative effect on everyone. Every person is stressed, so the need to reduce or identify the stress is vital part. Social networks influences each and every one today. The best way that people relaxes is by using social networks. They find new friends, communicate with them, share their emotions also. A users mood condition can be easily determined by monitoring his profile. A hybrid model that combines the CNN and FGM is used to determine the stress state of users. By determining the stress levels, prediction of the health problems that would arise are identified. |
Other Details |
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Paper ID: IJSRDV7I31259 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 1822-1825 |
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