CLASSIFICATION FOR SYMPTOMS OF DEPRESSION, ANXIETY AND STRESS IN STUDENTS DURING THE FIRST COVID-19 LOCKDOWN

Autor(i)

  • Iliou Theodoros Faculty of Medicine, School of Health Sciences, Democritus University of Thrace, Alexandroupolis Campus, Medical Informatics Laboratory, Alexandroupolis, Greece
  • Georgia Konstantopoulou Department of Education and Social Work, School of Humanities and Social Sciences, University of Patras, Greece

DOI:

https://doi.org/10.46827/ejoe.v10i1.5898

Ključne riječi:

classification, depression, anxiety, stress. students, COVID-19, lockdown

Sažetak

This study presents a comprehensive analysis of the classification of depression, anxiety, and stress levels among students during the COVID-19 pandemic lockdown in Greece using machine learning methods. Leveraging a dataset derived from 1016 responses to the Dass21 questionnaire, this research evaluates the efficacy of five classifiers, IBk (KNN=3), Random Forest, MLP, FURIA, and SMO—in categorizing individuals' mental health status. The findings underscore the potential of machine learning in psychiatric evaluation and the importance of early detection and tailored interventions in mental health care.

Biografije autora

  • Iliou Theodoros, Faculty of Medicine, School of Health Sciences, Democritus University of Thrace, Alexandroupolis Campus, Medical Informatics Laboratory, Alexandroupolis, Greece

    Iliou Theodoros, Faculty of Medicine, School of Health Sciences, Democritus University of Thrace, Alexandroupolis Campus, Medical Informatics Laboratory, Alexandroupolis, Greece.

    ResearchGate: https://www.researchgate.net/profile/Theodoros-Iliou-2

  • Georgia Konstantopoulou, Department of Education and Social Work, School of Humanities and Social Sciences, University of Patras, Greece

    Konstantopoulou Georgia, Department of Education and Social Work, School of Humanities and Social Sciences, University of Patras, Greece.

    ResearchGate: https://www.researchgate.net/profile/Georgia-Konstantopoulou?ev=hdr_xprf

Reference

American College Health Association, (2019). American College Health Association: National College health assessment II: Reference group executive summary spring 2019. Published online. Retrieved from https://www.acha.org/documents/ncha/NCHA-II_SPRING_2019_US_REFERENCE_GROUP_EXECUTIVE_SUMMARY.pdf.

Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55, 469-480. Retrieved from https://pubmed.ncbi.nlm.nih.gov/10842426/

Grubic, N., Badovinac, S. & Johri, A. M. (2020). Student mental health in the midst of the COVID-19 pandemic: A call for further research and immediate solutions. International Journal of Social Psychiatry, Published online first on May 2, 2020. https://doi.org/10.1177/0020764020925108

Hammen, C. L. (1980). Depression in college students: Beyond the Beck Depression Inventory. Journal of Consulting and Clinical Psychology, 48(1), 126–128. https://doi.org/10.1037/0022-006X.48.1.126.

Harrington, R., Rutter, M., & Frombonne, E. (1996). Developmental pathways in depression: Multiple meanings, antecedents, and endpoints. Development & Psychopathology, 8(4), 601-616. https://psycnet.apa.org/doi/10.1017/S095457940000732X

Harrington, R., Fudge, H., Rutter, M., Pickles, A., & Hill, J. (1990). Adult outcomes of childhood and adolescent depression: I. Psychiatric status. Archives of General Psychiatry, 47, 463-473. https://doi.org/10.1001/archpsyc.1990.01810170065010

Hunt, J., & Eisenberg, D. (2010). Mental health problems and help-seeking behavior among college students. Journal of Adolescent Health, 46, 3-10. https://doi.org/10.1016/j.jadohealth.2009.08.008

Kamarianos, I., Adamopoulou, A., Lampropoulos, H, & Stamelos, G. (2020). Towards an understanding of university students’ response in times of pandemic crisis (COVID-19). European Journal of Education Studies, 7(7), 20-40. http://dx.doi.org/10.46827/ejes.v7i7.3149

Karaivazoglou K, Konstantopoulou G, Kalogeropoulou M, Iliou T, Vorvolakos T, Assimakopoulos K, Gourzis P, Alexopoulos P (2021). Psychological distress in the Greek general population during the first COVID-19 lockdown. BJPsych Open. Volume 7 Issue 2 Feb 24;7(2): e59. https://doi.org/10.1192/bjo.2021.17

Khodayari-Rostamabad A., Reilly J. P., Hasey G., Debruin H. (2010). Using pre-treatment EEG data to predict response to SSRI treatment for MDD. Conf Proc IEEE Eng Med Biol Soc 2010:6103–6106. https://doi.org/10.1109/iembs.2010.5627823

Kohavi, R. (1995). A study of cross-validation and bootstrap for accuracy estimation and model selection. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, vol. 2, no. 12, 1995, pp. 1137–1143. Retrieved from https://www.ijcai.org/Proceedings/95-2/Papers/016.pdf

Konstantopoulou G., Raikou N. (2020). Clinical evaluation of Depression on University Students during quarantine due to COVID-19 pandemic. European Journal of Public Health Studies, 3(1), 1-8. http://dx.doi.org/10.46827/ejphs.v3i1.65

Konstantopoulou, G, Iliou, T, Raikou N. (2020). Clinical Assessment of Depression on University Students. European Journal of Public Health Studies, 2(2), 57-65. http://dx.doi.org/10.46827/ejphs.v2i2.60

Konstantopoulou, G., Pantazopoulou, S., Iliou, T, Raikou N. (2020). Stress and depression in the exclusion of the COVID-19 pandemic in Greek university students, European Journal of Public Health Studies, 3(1), 91-99. DOI: 10.46827/ejphs. v3i1.74. Retrieved from http://dx.doi.org/10.46827/ejphs.v3i1.74

Lee, J. (2020). Mental health effects of school closures during COVID-19. The Lancet, 4. Published first online, April 14, 2020. https://doi.org/10.1016/S2352-4642(20)30109-7

Petersen, A. C., Compas, B. E., Brooks-Gunn, J., Stemmler, M., Ey, S., & Grant, K. E. (1993). Depression in adolescence. American Psychologist, 48(2), 155–168. https://doi.org/10.1037/0003-066X.48.2.155

Salomoni G., Grassi M., Mosini P., Riva P., Cavedini P., Bellodi L. (2009). Artificial neural network model for the prediction of obsessive–compulsive disorder treatment response. J Clin Psychopharmacol 29:343–349.

Torales et al. (2020). The outbreak of COVID-19 coronavirus and its impact on global mental health. International Journal of Social Psychiatry. Volume 66, Issue 4 https://doi.org/10.1177/0020764020915212

Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. International Journal of Environmental Research and Public Health, 17(5), Article 1729. https://doi.org/10.3390/ijerph17051729.

YoungMinds. (2020). Coronavirus: Impact on young people with mental health needs. Published online, March, 2020. https://youngminds.org.uk/media/3708/coronavirus-report_march2020.pdf.

Waikato Environment for Knowledge Analysis, Data Mining Software in Java, available online: http://www.cs.waikato.ac.nz/ml/index.html, Accessed 11/1/2024.

Preuzimanja

Objavljeno

2025-03-19

Broj časopisa

Svezak 10 Br. 1 (2025)

Rubrika

Articles

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