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Impact of Workplace Factors on Nurse Well-Being: A Multivariate Approach
Author(s): Usharani Bhimavarapu (Department of Computer Science and Engineering,)
Copyright: 2025
Pages: 18
EISBN13: 9798337355627
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Abstract
Workplace conditions and employee health are closely intertwined, influencing both individual well-being and organizational productivity. This study explores the mental health challenges faced by actively working nurses, focusing on stress, anxiety, depression, and other psychosocial factors. A survey conducted between June and July 2023 yielded 2,254 responses, of which 1,457 from actively employed nurses were included in the analysis. The data underwent preprocessing using advanced natural language processing (NLP) techniques to ensure consistency and relevance, followed by feature selection through Principal Component Analysis (PCA) to identify the most significant variables. Bayesian Optimization Regression Analysis was employed to optimize predictive modeling, enabling robust identification of key factors impacting mental health. The study utilized well-validated tools such as the PTSS-14, PHQ-9, and Human Services Survey, with responses measured on Likert scales.
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