Affective Science › Adolescent Mood Disorders & Digital Phenotyping
Algorithmic Bias Assessment in Mood Disorder Digital Phenotype Development
This investigation examines how demographic factors, digital literacy, and technology access patterns introduce systematic bias into digital phenotyping algorithms for adolescent mood disorders. The research produces fairness-aware methodologies that ensure digital biomarkers maintain predictive validity across sociodemographically diverse populations.
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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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