Medicine and Healthnpj Digital Medicine
Personalized mood prediction from patterns of behavior collected with smartphones
B. Balliu, C. Douglas, et al.
High-quality longitudinal assessments paired computerized adaptive testing with continuous smartphone sensor data over up to 40 weeks in 183 individuals, enabling individualized mood predictions up to three weeks ahead with R² ≥ 80% and a 65.7% reduction in prediction error. The study verified feasibility of predicting symptom severity weeks in advance using passive digital behavioral data, conducted by the authors listed in the <Authors> tag.
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