Depression

A Randomized Evaluation of MoodFX, a Patient-Centred e-Health Tool to Support Outcome Measurement for Depression
E-health tools may be useful for measuring and tracking symptoms and other outcomes during treatment for depression. This randomized …
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Machine Learning Prediction of Quality of Life Improvement During Antidepressant Treatment of Patients With Major Depressive Disorder: A STAR*D and CAN-BIND-1 Report
Quality of life is an important patient-centric outcome. This study used machine learning methods to predict which patients will …
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Response Trajectories during Escitalopram Treatment of Patients with Major Depressive Disorder
Depression is heterogeneous with variable response to treatment. This study used unsupervised machine learning to cluster patients …
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Replication of Machine Learning Methods to Predict Treatment Outcome with Antidepressant Medications in Patients with Major Depressive Disorder from STAR*D and CAN-BIND-1
Antidepressants are first-line treatments for major depressive disorder, but 40-60% of patients will not respond to treatment. This …
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