Depression

Technology for Early Detection of Depression and Anxiety in Older People.

Under-diagnosis of depression and anxiety is common in older adults. This project took a mixed methods approach to explore the application of machine learning and technology for early detection of these conditions. Mood measures collected with digital technologies were used to predict depression and anxiety status according to the Geriatric Depression Scale (GDS) and the Hospital Anxiety and Depre...

Improving Prediction of Suicide and Accidental Death After Discharge From General Hospitals With Natural Language Processing.

IMPORTANCE: Suicide represents the 10th leading cause of death across age groups in the United States (12.6 cases per 100 000) and remains challenging to predict. While many individuals who die by suicide are seen by physicians before their attempt, they may not seek psychiatric care.

Classification of Helpful Comments on Online Suicide Watch Forums.

Among social media websites, Reddit has emerged as a widely used online message board for focused mental health topics including depression, addiction...

Suicide Risk Assessment in Hospitals: An Expert System-Based Triage Tool.

BACKGROUND: The November 2010 Joint Commission Sentinel Event Alert on the prevention of suicides in medical/surgical units and the emergency departme...

Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data.

IMPORTANCE: Electroconvulsive therapy (ECT) is one of the most effective treatments for severe depression. However, biomarkers that accurately predict...

Anti-inflammatory Effect of Amitriptyline on Ulcerative Colitis in Normal and Reserpine-Induced Depressed Rats.

Depressive disorders are more common among persons with chronic diseases such as inflammatory bowel disease and anti-inflammatory effect of some antid...

Pharmacokinetics of Amitriptyline HCl and Its Metabolites in Healthy African Grey Parrots ( Psittacus erithacus ) and Cockatoos (Cacatua Species).

Amitriptyline, a tricyclic antidepressant, is used clinically to treat feather-destructive behavior in psittacine birds at a recommended dosage of 1-5...

[Intervention Effect of Modified Dachengqi Decoction on Intestinal Mucosal Barrier of Severe Acute Pancreatitis Model Rats].

OBJECTIVE: To study the effect of Modified Dachengqi Decoction (MDD) as whole course therapy on mediators of inflammation in severe acute pancreatitis...

The safety assessment of saffron (Crocus sativus L.) on sympathovagal balance and heart rate variability; a comparison with amiodarone.

Dry stigmas of the Crocus sativus L. (Saffron) are well known in world as a popular flavouring and therapeutic agent. The anxiolytic, antidepressant, ...

Citalopram-Induced Long QT Syndrome and the Mammalian Dive Reflex.

While SCUBA diving, a 44-year-old Caucasian patient had an abnormal cardiac rhythm, presumably Torsade de Pointes (TdP), during the initial descent to...

[Research on Early Identification of Bipolar Disorder Based on Multi-layer Perceptron Neural Network].

Multi-layer perceptron (MLP) neural network belongs to multi-layer feedforward neural network, and has the ability and characteristics of high intelli...

Improving Quality of Life and Depression After Stroke Through Telerehabilitation.

OBJECTIVE: The aim of this study was to determine the effects of home-based robot-assisted rehabilitation coupled with a home exercise program compare...

Identifying Patients with Depression Using Free-text Clinical Documents.

About 1 in 10 adults are reported to exhibit clinical depression and the associated personal, societal, and economic costs are significant. In this st...

Identifying Clinical Study Types from PubMed Metadata: The Active (Machine) Learning Approach.

We examined a process for automating the classification of articles in MEDLINE aimed at minimising manual effort without sacrificing accuracy. From 22...

Development of an Adolescent Depression Ontology for Analyzing Social Data.

Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely ...