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  Published Paper Details:

  Paper Title

Stress Detection among students using various Machine Learning Algorithm

  Authors

  Priyanka Rajesh Patil,  Anuradha Dilip Ingole,  Bhushan Harihar Band,  Aakansha Prakash Tiwari

  Keywords

Keywords--stress detection,Depression,Classification algorithm,data.

  Abstract


The presence of depression among any individual has been a serious problem in personal as well as public health. A large amount of people including students are suffering from the depression but not all are getting overcome by adequate treatment. This depression, commonly known to people by the word Stress is a psychological condition which reduces the amount of sleep and affects almost each and every aspect of life. Thus this paper is proposed to provide an effective method able to detect the cognitive stress levels amongst students using various techniques. Though not every stress is harmful, sometimes it can be used for constructive purpose; the high level of stress among the student generation can lead to adverse impact on them which cannot be useful for their personal development. Thus, it became necessary to study the techniques by which the presence of stress can be known.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2401431

  Paper ID - 249725

  Page Number(s) - d594-d599

  Pubished in - Volume 12 | Issue 1 | January 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Priyanka Rajesh Patil,  Anuradha Dilip Ingole,  Bhushan Harihar Band,  Aakansha Prakash Tiwari,   "Stress Detection among students using various Machine Learning Algorithm", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 1, pp.d594-d599, January 2024, Available at :http://www.ijcrt.org/papers/IJCRT2401431.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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