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Using Machine Learning Methods to Examine Turnover Rates in State Health Agencies
1
Zitationen
3
Autoren
2025
Jahr
Abstract
This study highlights the value of ML for identifying key predictors of turnover intention. Findings reinforce the importance of job satisfaction, organizational climate, and compensation in retaining public health staff. ML-driven tools can support more proactive, data-informed retention strategies in the governmental public health system.
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