Depression

Identification of Child Survivors of Sex Trafficking From Electronic Health Records: An Artificial Intelligence Guided Approach.

Survivors of child sex trafficking (SCST) experience high rates of adverse health outcomes. Amidst t...

Prediction of suicidal ideation in children and adolescents using machine learning and deep learning algorithm: A case study in South Korea where suicide is the leading cause of death.

BACKGROUND: Korea has the highest suicide rate among Organisation for Economic Co-operation and Deve...

Machine Learning Classification of Psychiatric Data Associated with Compensation Claims for Patient Injuries.

BACKGROUND: Adverse events are common in health care. In psychiatric treatment, compensation claims ...

Assessment of depression and anxiety in young and old with a question-based computational language approach.

Middle aged adults experience depression and anxiety differently than younger adults. Age may affect...

Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study.

BACKGROUND: Mood disorder has emerged as a serious concern for public health; in particular, bipolar...

Analyzing of optimal classifier selection for EEG signals of depression patients based on intelligent fuzzy decision support systems.

Electroencephalograms (EEG) is used to assess patients' clinical records of depression (EEG). The di...

Leveraging Natural Language Processing to Improve Electronic Health Record Suicide Risk Prediction for Veterans Health Administration Users.

Suicide risk prediction models frequently rely on structured electronic health record (EHR) data, i...

ChatGPT on ECT: Can Large Language Models Support Psychoeducation?

Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022.

BACKGROUND: Social media platforms have been increasingly used to express suicidal thoughts, feeling...

Machine Learning and Electroencephalogram Signal based Diagnosis of Dipression.

Depression is a psychological condition which hampers day to day activity (Thinking, Feeling or Acti...

Higher depression risks in medium- than in high-density urban form across Denmark.

Urban areas are associated with higher depression risks than rural areas. However, less is known abo...

Development of deep learning model and evaluation in real clinical practice of lingual mandibular bone depression (Stafne cyst) on panoramic radiographs.

OBJECTIVES: Lingual mandibular bone depression (LMBD) is a developmental bony defect in the lingual ...

Chronic Stress Exposure Alters the Gut Barrier: Sex-Specific Effects on Microbiota and Jejunum Tight Junctions.

BACKGROUND: Major depressive disorder (MDD) is the leading cause of disability worldwide. Of individ...

Prevalence of depressive symptoms and associated factors during the COVID-19 pandemic: A national-based study.

BACKGROUND: Previous studies have reported that the prevalence of depression and depressive symptoms...

Optimizing multi-domain hematologic biomarkers and clinical features for the differential diagnosis of unipolar depression and bipolar depression.

There is a lack of objective features for the differential diagnosis of unipolar and bipolar depress...

Applications of artificial intelligence-machine learning for detection of stress: a critical overview.

Psychological distress is a major contributor to human physiology and pathophysiology, and it has be...

Machine Learning Algorithms Can Be Reliably Leveraged to Identify Patients at High Risk of Prolonged Postoperative Opioid Use Following Orthopedic Surgery: A Systematic Review.

Machine learning (ML) has emerged as a method to determine patient-specific risk for prolonged post...

Deep neural network for food image classification and nutrient identification: A systematic review.

Technology impacts human life in both the aspects such as positive and negative, which helps in bett...

Automatic implant shape design for minimally invasive repair of pectus excavatum using deep learning and shape registration.

Minimally invasive repair of pectus excavatum (MIRPE) is an effective method for correcting pectus e...

The Association between Artificial Intelligence Awareness and Employee Depression: The Mediating Role of Emotional Exhaustion and the Moderating Role of Perceived Organizational Support.

The combination of artificial intelligence (AI) technology with the real economy has dramatically im...

Evaluating of the clinical eff ect of the robocare nursing model in Da Vinci robot-assisted radical cancer surgery.