Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression.

Background: We report a study of machine learning applied to the phenotyping of psychiatric diagnosis for research recruitment in youth depression, conducted with 861 labelled electronic medical records (EMRs) documents. A model was built that could accurately identify individuals who were suitable candidates for a study on youth depression.

Objective: Our objective was a model to identify individuals who meet inclusion criteria as well as unsuitable patients who would require exclusion.

Cognitive Behavior Therapy for Anxious and Depressed Youth: Improving Homework Adherence Through Mobile Technology.

Background: Anxiety and mood disorders are the most common mental illnesses, peaking during adolescence and affecting approximately 25% of Canadians aged 14-17 years. If not successfully treated at this age, they often persist into adulthood, exerting a great social and economic toll. Given the long-term impact, finding ways to increase the success and cost-effectiveness of mental health care is a pressing need.

Treating child and adolescent anxiety effectively: Overview of systematic reviews.

We conducted an overview of systematic reviews about child and adolescent anxiety treatment options (psychosocial; medication; combination; web/computer-based treatment) to support evidence informed decision-making. Three questions were addressed: (i) Is the treatment more effective than passive controls? (ii) Is there evidence that the treatment is superior to or non-inferior to (i.e.

PREVENTING CHILD AND ADOLESCENT ANXIETY DISORDERS: OVERVIEW OF SYSTEMATIC REVIEWS.

Overviews of systematic reviews (OSRs) provide rapid access to high quality, consolidated research evidence about prevention intervention options, supporting evidence-informed decision-making, and the identification of fruitful areas of new research. This OSR addressed three questions about prevention strategies for child and adolescent anxiety: (1) Does the intervention prevent anxiety diagnosis and/or reduce anxiety symptoms compared to passive controls? (2) Is the intervention equal to or more effective than active controls? (3) What is the evidence quality (EQ) for the intervention? Prespecified inclusion criteria identified systematic reviews and meta-analyses (2000-2014) with an AMSTAR quality score ≥ 3/5. EQ was rated using Oxford evidence levels EQ1 (highest) to EQ5 (lowest).

Telemedicine as a tool to mitigate cardiometabolic risk associated with serious mental illness.

People with serious mental illness suffer from substantially higher rates of cardiometabolic morbidity and mortality than the general population. We have evaluated the efficacy of telemedicine for providing cardiometabolic risk management services compared to in-person care. A retrospective chart review was conducted in order to compare changes in body mass index (BMI), systolic blood pressure and serum triglycerides before and after telemedicine (n=38).

Types of parental involvement in CBT with anxious youth: a preliminary meta-analysis.

Objective: Meta-analytic studies have not confirmed that involving parents in cognitive behavior therapy (CBT) for anxious children is therapeutically beneficial. There is also great heterogeneity in the type of parental involvement included. We investigated parental involvement focused on contingency management (CM) and transfer of control (TC) as a potential outcome moderator using a meta-analysis with individual patient data.