Andrew J. Greenshaw

Psychiatry & Neuroscience University of Alberta, Edmonton, Alberta, Canada 
Behavioural pharmacology of reward and emotion
"Andrew Greenshaw"
Mean distance: 15.84 (cluster 19)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Obuobi-Donkor G, Eboreime E, Bond J, et al. (2022) 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). Jmir Research Protocols. 11: e30680
Sawalha J, Yousefnezhad M, Shah Z, et al. (2022) Detecting Presence of PTSD Using Sentiment Analysis From Text Data. Frontiers in Psychiatry. 12: 811392
Kalmady SV, Paul AK, Narayanaswamy JC, et al. (2021) Prediction of Obsessive-Compulsive Disorder: Importance of neurobiology-aided feature design and cross-diagnosis transfer learning. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
Cao B, Liu YS, Selvitella A, et al. (2021) Differential power of placebo across major psychiatric disorders: a preliminary meta-analysis and machine learning study. Scientific Reports. 11: 21301
Sawalha J, Yousefnezhad M, Selvitella AM, et al. (2021) Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces. Scientific Reports. 11: 16723
Benoit JRA, Dursun SM, Greiner R, et al. (2021) Using Machine Learning to Predict Remission in Patients With Major Depressive Disorder Treated With Desvenlafaxine : Utiliser l'apprentissage machine pour prédire la rémission chez les patients souffrant de trouble dépressif majeur traités par desvenlafaxine. Canadian Journal of Psychiatry. Revue Canadienne De Psychiatrie. 7067437211037141
Shalaby R, Vuong W, Hrabok M, et al. (2021) COVID-19 Pandemic: Gender difference in satisfaction with a daily supportive text message program (Text4Hope) and anticipated receptivity for technology-based health support during emergencies-Cross Sectional Survey. Jmir Mhealth and Uhealth
Agyapong VIO, Shalaby R, Hrabok M, et al. (2021) 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. International Journal of Environmental Research and Public Health. 18
Agyapong VIO, Hrabok M, Shalaby R, et al. (2021) Text4Hope: Receiving Daily Supportive Text Messages for Three Months during the COVID-19 Pandemic Reduces Stress, Anxiety, and Depression. Disaster Medicine and Public Health Preparedness. 1-15
Sawalha J, Cao L, Chen J, et al. (2020) Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests. Journal of Affective Disorders. 282: 662-668
See more...