Digital phenotyping of depression: A multi-modal passive sensing approach to identifying novel behavioral and physiological markers of treatment response.

Abstract excerpt

BACKGROUND: Despite advances in treatment approaches for Major Depressive Disorder (MDD), significant challenges persist in predicting individual treatment responses. Digital phenotyping-the passive collection of behavioral and physiological data through personal digital devices-offers promising opportunities for identifying objective markers of depression severity and treatment response. METHODS: We conducted a...

Topics

• Humans
• Male
• Female
• Major Depressive Disorder
• Adult
• Middle Aged
• Wearable Electronic Devices
• Machine Learning
• Prospective Studies
• Phenotype
• Smartphone