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Depressive Symptoms as a Heterogeneous and Constantly Evolving Dynamical System: Idiographic Depressive Symptom Networks of Rapid Symptom Changes among Persons with Major Depressive Disorder

Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward

Detecting Major Depressive Disorder Presence Using Passively-Collected Wearable Movement Data in a Nationally-Representative Sample

Using Digital Phenotyping to Capture Depression Symptom Variability: Detecting Naturalistic Variability in Depression Across One Year Using Passively-Collected Wearable Movement and Sleep Data

The Hidden Depths of Suicidal Discourse: Network Analysis and Natural Language Processing Unmask Uncensored Expression

Using Machine Learning to Forecast Depressive Symptom Changes Among Subclinical Depressed Patients Receiving Stepped-Care Delivery or Usual Care

Behind the Screen: A Narrative Review of Advancements in Mobile and Wearable Passive Sensing for Mental Health Assessment

Predicting Individual Response to a Web-Based Positive Psychology Intervention: A Machine Learning Approach

Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms

Dysregulated Emotion and Trying Substances in Childhood: Insights from a Large Nationally Representative Cohort Study