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Chronic stress in practice assistants: An analytic approach comparing four machine learning classifiers with a standard logistic regression model.

Arezoo BozorgmehrAnika ThielmannBirgitta Weltermann
Published in: PloS one (2021)
Regarding chronic stress prediction, machine learning classifiers, especially random forest, provided more accurate prediction compared to classical logistic regression. Interventions to reduce chronic stress in practice personnel should primarily address the identified workplace characteristics.
Keyphrases
  • machine learning
  • primary care
  • artificial intelligence
  • stress induced
  • climate change
  • quality improvement
  • high resolution
  • drug induced
  • mass spectrometry