AIMC Topic: Mental Health
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Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study.
JMIR medical informatics
Jan 21, 2025
BACKGROUND: Prediction models have demonstrated a range of applications across medicine, including using electronic health record (EHR) data to identify hospital readmission and mortality risk. Large language models (LLMs) can transform unstructured ...
Responsible Design, Integration, and Use of Generative AI in Mental Health.
JMIR mental health
Jan 20, 2025
Generative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is t...
Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-Being.
JMIR formative research
Jan 20, 2025
BACKGROUND: Depression significantly impacts an individual's thoughts, emotions, behaviors, and moods; this prevalent mental health condition affects millions globally. Traditional approaches to detecting and treating depression rely on questionnaire...
Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review.
JMIR mental health
Jan 16, 2025
BACKGROUND: The use of natural language processing (NLP) in mental health research is increasing, with a wide range of applications and datasets being investigated.
Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial.
Journal of medical Internet research
Jan 14, 2025
BACKGROUND: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment meth...
How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method.
Frontiers in public health
Jan 3, 2025
Existing studies have established a linear relationship between urban environments and adolescent health, but the combined impacts of subjective and objective environments on multi-dimensional health status (including physical and mental health) have...
The analysis of generative adversarial network in sports education based on deep learning.
Scientific reports
Dec 5, 2024
The importance of mental health is increasingly emphasized in modern society. The assessment of mental health qualities among college and university students as the future workforce holds significant significance. Therefore, this study, aiming to str...
Training humans to supplement a machine learning system: The role of guides in a digital mental health intervention.
Social science & medicine (1982)
Dec 4, 2024
Machine learning (ML) is increasingly prevalent in mental health care, with contemporary initiatives leveraging these technologies, sometimes in combination with wearable devices, toward novel interventions. This paper investigates the development of...
Use of machine learning for simplification of University Personality Inventory (UPI).
Acta psychologica
Dec 4, 2024
BACKGROUND: Rapid diagnosis of mental health problems is crucial for college students. The University Personality Inventory (UPI) is a commonly used tools for assessing mental health in college students; however, it has certain limitations. This stud...
Public Perception on Artificial Intelligence-Driven Mental Health Interventions: Survey Research.
JMIR formative research
Nov 28, 2024
BACKGROUND: Artificial intelligence (AI) has become increasingly important in health care, generating both curiosity and concern. With a doctor-patient ratio of 1:834 in India, AI has the potential to alleviate a significant health care burden. Publi...
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