Psychiatry

The Digital Transformation of Mental Health Care and Psychotherapy - A Market and Research Maturity Analysis.

Digital technology trends for mental health, instantiated with only emerging use cases or already es...

Burnout and Depression Detection Using Affective Word List Ratings.

Burnout syndrome and depression are prevalent mental health problems in many societies today. Most e...

Natural language processing of medical records: new understanding of suicide ideation by dementia subtypes.

Resampling to address inequities in predictive modeling of suicide deaths.

OBJECTIVE: Improve methodology for equitable suicide death prediction when using sensitive predictor...

Death by Robots? Automation and Working-Age Mortality in the United States.

The decline of manufacturing employment is frequently invoked as a key cause of worsening U.S. popul...

Advancing Psychiatric Biomarker Discovery Through Multimodal Machine Learning.

Translating promise into practice: a review of machine learning in suicide research and prevention.

In ever more pressured health-care systems, technological solutions offering scalability of care and...

A new MAGDM method with 2-tuple linguistic bipolar fuzzy Heronian mean operators.

In this article, we introduce the 2-tuple linguistic bipolar fuzzy set (2TLBFS), a new strategy for ...

Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection.

Stress has become a dangerous health problem in our life, especially in student education journey. A...

Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning.

BACKGROUND: Validated clinical prediction models of short-term remission in psychosis are lacking. O...

A Conceptual Framework to Predict Mental Health Patients' Zoning Classification.

Zoning classification is a rating mechanism, which uses a three-tier color coding to indicate percei...

Focus on technology: surgical selfies, ransomware attacks, AI-assisted mental health care.

Implementation of a machine learning algorithm for automated thematic annotations in avatar: A linear support vector classifier approach.

Avatar Therapy (AT) is a modern therapeutic alternative for patients with schizophrenia suffering fr...

Decision support system for the differentiation of schizophrenia and mood disorders using multiple deep learning models on wearable devices data.

In the modern world, with so much inherent stress, mental health disorders (MHDs) are becoming more ...

Major depression disorder diagnosis and analysis based on structural magnetic resonance imaging and deep learning.

Major depression disorder is one of the diseases with the highest rate of disability and morbidity a...

Designing Depression Screening Chatbots.

Advances in voice recognition, natural language processing, and artificial intelligence have led to ...

Antihypertensive Activity of Sauromatum guttatum Mediated by Vasorelaxation and Myocardial Depressant Effects.

BACKGROUND: Sauromatum guttatum (S. guttatum) is used in the treatment of blood disorders and report...

Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries.

Suicide attempts are a leading cause of injury globally. Accurate prediction of suicide attempts mig...

De novo generation of dual-target ligands using adversarial training and reinforcement learning.

Artificial intelligence, such as deep generative methods, represents a promising solution to de novo...

Deep learning model reveals potential risk genes for ADHD, especially Ephrin receptor gene EPHA5.

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder. Although ge...

Optimizing Input for Gesture Recognition using Convolutional Networks on HD-sEMG Instantaneous Images.

Hand gesture recognition using high-density surface electromyography (HD-sEMG) has gained increasing...