Andrew J. Greenshaw
0000-0002-9097-900X
University of Alberta
12 papers found
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Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study
Prediction of Obsessive-Compulsive Disorder: Importance of Neurobiology-Aided Feature Design and Cross-Diagnosis Transfer Learning
An E–Mental Health Solution to Prevent and Manage Posttraumatic Stress Injuries Among First Responders in Alberta: Protocol for the Implementation and Evaluation of Text Messaging Services (Text4PTSI and Text4Wellbeing)
Social Media and the Transformation of the Physician-Patient Relationship: Viewpoint
Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey Study
Mental Health Outreach via Supportive Text Messages during the COVID-19 Pandemic: Improved Mental Health and Reduced Suicidal Ideation after Six Weeks in Subscribers of Text4Hope Compared to a Control Population
Identification of suicidality in adolescent major depressive disorder patients using sMRI: A machine learning approach.
Changes in Stress, Anxiety, and Depression Levels of Subscribers to a Daily Supportive Text Message Program (Text4Hope) During the COVID-19 Pandemic: Cross-Sectional Survey Study
Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests
Virtual Trauma-Focused Therapy for Military Members, Veterans, and Public Safety Personnel With Posttraumatic Stress Injury: Systematic Scoping Review
Variability may limit the translation of neuroimaging findings Comment on “Variability in the analysis of a single neuroimaging dataset by many teams”
Closing the Psychological Treatment Gap During the COVID-19 Pandemic With a Supportive Text Messaging Program: Protocol for Implementation and Evaluation
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