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Employee mental health risk prediction and coping management based on neural network

  
23 dic 2023
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Uglanova, E., & Dettmers, J. (2022). Improving employee mental health through an internet-based job crafting intervention. Journal of Personnel Psychology, 22(1), 20-30. Search in Google Scholar

Wu, J., Mei, W., Liu, L., Ugrin, J. C., Business, J. O., & Woodside, A. G. (2020). The bright and dark sides of social cyberloafing: effects on employee mental health in china. Journal of Business Research. Search in Google Scholar

Dimoff, J. K., & Kelloway, E. K. (2019). Mental health problems are management problems: exploring the critical role of managers in supporting employee mental health. Organizational dynamics(3), 48. Search in Google Scholar

Johnson, A., Dey, S., Nguyen, H., Groth, M., Joyce, S., & Tan, L., et al. (2020). A review and agenda for examining how technology-driven changes at work will impact workplace mental health and employee well-being. Australian Journal of Management, 45. Search in Google Scholar

Wilson, C. A., Kennedy, A. B., Heavner, S., Britt, T. W., & Metwally, H. (2022). Chronicling moral distress among healthcare providers during the covid-19 pandemic: a longitudinal analysis of mental health strain, burnout, and maladaptive coping behaviours. International Journal of Mental Health Nursing, 31(1), 111-127. Search in Google Scholar

KLS Turner. (2018). Team formulation in an assessment and treatment unit for individuals with learning disabilities: an evaluation through staff views. British Journal of Learning Disabilities, 46. Search in Google Scholar

Senhu, W., Kamerāde Daiga, Brendan, B., Adam, C., & Ursula, B. S. (2021). What matters more for employees’ mental health: job quality or job quantity?. Cambridge Journal of Economics(2), 2. Search in Google Scholar

Jéssica Vieira de Souza Meira. (2020). Employee work status, mental health, substance use, and career turnover intentions: an examination of restaurant employees during covid-19. International Journal of Hospitality Management, 93(3). Search in Google Scholar

B, M. F. A., B, A. M. A., R.E. Carrión c, A, R. D. C., E, A. B. D., & F, M. P., et al. (2017). Psychosis prediction in secondary mental health services. a broad, comprehensive approach to the “at risk mental state” syndrome. European Psychiatry, 40, 96-104. Search in Google Scholar

Meunier, S., Roberge, C., Coulombe, S., & Houle, J. (2019). Feeling better at work! mental health self-management strategies for workers with depressive and anxiety symptoms. Journal of Affective Disorders, 254. Search in Google Scholar

Liu, N., Liu, H., & Liu, H. (2020). Mental health diagnosis of college students based on facial recognition and neural network. Journal of Intelligent and Fuzzy Systems, 40(3), 1-12. Search in Google Scholar

Hsiung, D. Y., Tsai, C. L., Chiang, L. C., & Ma, W. F. (2019). Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey. BMJ Open, 9(6), e025912. Search in Google Scholar

Li, N., Zhai, H., Seetharam, T. G., & Shanthini, A. (2021). Psychological health analysis based on fuzzy assisted neural network model for sports person. Journal of Intelligent and Fuzzy Systems(5), 1-15. Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro