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Machine learning for predicting burnout among healthcare workers: a systematic review and meta-analysis
0
Zitationen
5
Autoren
2025
Jahr
Abstract
ML models show promise for predicting burnout in HCWs but are limited by methodological weaknesses, heterogeneity, and lack of external validation. Advancing this field requires rigorous design, transparent reporting, multimodal data integration, and ethical safeguards to enable trustworthy clinical use.
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