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Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis.

George AalbersAndrew T HendricksonMariek Mp Vanden AbeeleLoes Keijsers
Published in: JMIR mHealth and uHealth (2023)
Our findings indicate that smartphone log data can be used for identifying digital markers of stress and also show that the relation between specific digital markers and stress differs from person to person. These findings warrant follow-up studies in other populations (eg, professionals and clinical populations) and pave the way for similar research using physiological measures of stress.
Keyphrases
  • machine learning
  • stress induced
  • artificial intelligence
  • genetic diversity
  • deep learning
  • depressive symptoms