Relationship Between Interpersonal Conflict, Stress and Burnout in Nurses using ML Classification
burnout; interpersonal conflict; machine learning; nurse; stress
Nurses often face challenges due to heavy workloads, ambiguous roles, and hierarchical pressures. This makes them particularly susceptible to stress and burnout. These factors impair their mental health, productivity, and interpersonal dynamics, resulting in emotional exhaustion, dissatisfaction, and high turnover rates. Therefore, the association between interpersonal conflict, stress, and burnout, among nurses is examined in this study. Data were collected from 636 registered nurses in Karnataka. An Artificial Neural Network was used to classify nurses on low/high interpersonal conflict levels based on their stress/burnout levels. It was found that stress and burnout strongly predict interpersonal conflicts. Factors like impaired judgment and altered behavior contribute heavily to these challenges. AI and IoT can be used to manage stress and burnout. Predictive AI analytics can monitor physiological and behavioral indicators, which can help provide an early intervention. 2025 IEEE.
Pai, Sangeetha; Saha, Saibal Kumar; Jha, Ajeya
Proceedings of 2025 3rd International Conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025;pp.1346-1351
Institute of Electrical and Electronics Engineers Inc.
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1109/ISACC65211.2025.10969439 https://www.scopus.com/pages/publications/105005167586?origin=resultslist
Pai S., Manipal Academy of Higher Education, Department of Commerce, Karnataka, Manipal, India; Saha S.K., School of Business, Management Christ University, Bangalore, India; Jha A., Sikkim Manipal Institute of Technology, Department of Management Studies, Sikkim, India