Harnessing Machine Learning to Predict Nurse Turnover Intention and Uncover Key Predictors: A Multinational Investigation

This study did not include patient or public involvement in its design, conduct or reporting.

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Publication Details

Journal
Journal of Advanced Nursing
Published
2025-10-02
DOI
https://doi.org/10.1111/jan.70260
Primary Topic
Healthcare professionals’ stress and burnout
Type
article
Field-Weighted Citation Impact
0.00
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article

Harnessing Machine Learning to Predict Nurse Turnover Intention and Uncover Key Predictors: A Multinational Investigation

Veysel Karani Barış, Luke Anthony Fiorini, Jessica G. Rainbow, Brad Gilbreath et al.
Journal of Advanced Nursing
Healthcare professionals’ stress and burnout
article

Harnessing Machine Learning to Predict Nurse Turnover Intention and Uncover Key Predictors: A Multinational Investigation

Veysel Karani Barış, Luke Anthony Fiorini, Jessica G. Rainbow, Brad Gilbreath, Pamela J. Love, Y. Fu
article en

Abstract

This study did not include patient or public involvement in its design, conduct or reporting.

Journal of Advanced Nursing
Colorado State University Pueblo (US), Midwestern University (US), University of Arizona (US), Dokuz Eylül University (TR), University of Malta (MT), California State University, San Marcos (US)
Openalex Percentile: Top 57%
Healthcare professionals’ stress and burnout
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