Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Pai, Sangeetha; Saha, Saibal Kumar; Jha, Ajeya Title A name given to the resource Relationship Between Interpersonal Conflict, Stress and Burnout in Nurses using ML Classification Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of 2025 3rd International Conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025;pp.1346-1351 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ISACC65211.2025.10969439" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ISACC65211.2025.10969439</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105005167586?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005167586?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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 Description An account of the resource 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. Subject The topic of the resource burnout; interpersonal conflict; machine learning; nurse; stress Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152389-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online