Medicine and Healthnpj Digital Medicine
Personalized mood prediction from patterns of behavior collected with smartphones
B. Balliu, C. Douglas, et al.
This groundbreaking research, conducted by Brunilda Balliu and her colleagues from UCLA, explores the prediction of depressive moods through smartphone data. By utilizing innovative idiographic models, the study achieves remarkable accuracy in anticipating depressive symptoms, showcasing the potential of personalized digital behavioral insights.
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