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Artificial Intelligence-Based Prediction of Individual Differences in Psychological Occupational Therapy Intervention Guided by the Realization of Occupational Values.
- Source :
- Occupational Therapy International; 7/6/2022, p1-9, 9p, 4 Diagrams, 5 Charts, 2 Graphs
- Publication Year :
- 2022
-
Abstract
- As the competition between enterprises intensifies, employees have witnessed a decline of psychological health year by year and severe anxiety and depression. To ensure the normal work of employees, it is important to implement psychological occupational therapy intervention (POTI). The previous studies on corporate occupational values focus on the behavioral variables and attitude variables related to occupations. The research paradigm does not suit a specific group of employees. Therefore, this paper explores the individual differences in POTI guided by the realization of occupational values. For a specific group of employees, the correlations of the psychological problems with job attitude, job involvement, and psychological health level were reasoned logically, a theoretical model was established, and the full-model map was plotted to illustrate the influence of the realization of occupational values over POTI. Then, the evaluation data on the psychological intervention effect of 2,800 employees were explored based on multikernel learning, and an individual difference prediction model was constructed through multikernel learning. Finally, the predicted results of different groups of employees were compared, revealing the effectiveness of our algorithm. [ABSTRACT FROM AUTHOR]
- Subjects :
- PROFESSIONAL ethics
SUPPORT vector machines
RESEARCH
STATISTICS
ANALYSIS of variance
SAMPLE size (Statistics)
ATTITUDE testing
MATHEMATICAL models
SELF-management (Psychology)
TIME
ARTIFICIAL intelligence
MENTAL health
SOCIAL capital
COGNITION
HEALTH status indicators
OCCUPATIONAL therapy
JOB satisfaction
THEORY
PREDICTION models
ARTIFICIAL neural networks
MENTAL illness
PSYCHOTHERAPY
ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 09667903
- Database :
- Complementary Index
- Journal :
- Occupational Therapy International
- Publication Type :
- Academic Journal
- Accession number :
- 157837834
- Full Text :
- https://doi.org/10.1155/2022/2735824