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Multimodal Sensor Integration for Heterogeneous Depression Phenotype Classification

Affective Science

Adolescent Mood Disorders & Digital Phenotyping

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Affective Science › Adolescent Mood Disorders & Digital Phenotyping

Multimodal Sensor Integration for Heterogeneous Depression Phenotype Classification

This research integrates data from accelerometers, heart rate variability sensors, GPS geolocation, and keystroke dynamics to identify distinct biological and behavioral subtypes of adolescent depression. The work advances precision psychiatry by revealing depression''s neurobiological heterogeneity through digital phenotypic clustering.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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