AIMC Topic: Mental Health
Clear Filters Showing 201 to 210 of 274 articles
Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.
Molecular psychiatry
Jan 4, 2019
Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts rising. Family studies have estimated substantial heritability of suicidal behavior; however, collecting the sample sizes necessary for successful ge...
Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.
Journal of biomedical informatics
Aug 14, 2018
OBJECTIVE: Instruments rating risk of harm to self and others are widely used in inpatient forensic psychiatry settings. A potential alternate or supplementary means of risk prediction is from the automated analysis of case notes in Electronic Health...
Natural Language Processing
Ethics, Medical
Unified Medical Language System
Forensic Psychiatry
Tasmania
Humans
Support Vector Machine
Algorithms
Mental Health Services
Electronic Health Records
Regression Analysis
Reproducibility of Results
Inpatients
Sensitivity and Specificity
Mental Health
Risk Assessment
Improving well-being in patients with major neurodegenerative disorders: differential efficacy of brief social robot-based intervention for 3 neuropsychiatric profiles.
Clinical interventions in aging
Jul 20, 2018
BACKGROUND: Behavioral and psychological symptoms of dementia (BPSD) affect patients' daily life and subjective well-being. International recommendations stress nonpharmacological interventions as first-line treatment. While newer psychosocial initia...
How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information.
Journal of biomedical informatics
Feb 15, 2017
It is believed that anomalous mental states such as stress and anxiety not only cause suffering for the individuals, but also lead to tragedies in some extreme cases. The ability to predict the mental state of an individual at both current and future...
Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM).
European psychiatry : the journal of the Association of European Psychiatrists
Nov 1, 2016
BACKGROUND: Key lifestyle-environ risk factors are operative for depression, but it is unclear how risk factors cluster. Machine-learning (ML) algorithms exist that learn, extract, identify and map underlying patterns to identify groupings of depress...
Female Sterilization and Poor Mental Health: Rates and Relatedness among American Indian and Alaska Native Women.
Women's health issues : official publication of the Jacobs Institute of Women's Health
Nov 19, 2015
OBJECTIVE: To describe the reproductive and mental health of American Indian and Alaska Native (AI/AN) women, an understudied population.
A comparison of machine learning methods for classification using simulation with multiple real data examples from mental health studies.
Statistical methods in medical research
Sep 18, 2013
BACKGROUND: Recent literature on the comparison of machine learning methods has raised questions about the neutrality, unbiasedness and utility of many comparative studies. Reporting of results on favourable datasets and sampling error in the estimat...
Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation.
Computer methods and programs in biomedicine
Aug 1, 2025
The global impact of COVID-19 has caused a significant rise in the demand for psychological counseling services, creating pressure on existing mental health professionals. Large language models (LLM), like ChatGPT, are considered a novel solution for...
Artificial intelligence in forensic mental health: A review of applications and implications.
Journal of forensic and legal medicine
Jul 1, 2025
This narrative review explores the transformative role of artificial intelligence (AI) in forensic mental health, focusing on its applications, benefits, limitations, and ethical considerations. AI's capabilities, particularly in areas such as risk a...
Exploring artificial intelligence (AI) Chatbot usage behaviors and their association with mental health outcomes in Chinese university students.
Journal of affective disorders
Jul 1, 2025
Technology dependence has long been a critical public health issue, especially among young people. With the development of AI chatbots, many individuals are integrating these tools into their daily lives. However, we have limited knowledge about the ...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31037
- Neural Networks, Computer 29719
- Algorithms 26832
- Deep Learning 26346
- Artificial Intelligence 24295
- Robotics 13311
- Image Processing, Computer-Assisted 9521
- Retrospective Studies 9111
- Magnetic Resonance Imaging 6181
- Reproducibility of Results 5592
- Tomography, X-Ray Computed 4771
- Support Vector Machine 4686
- Computational Biology 4237
- Brain 4050
- Computer Simulation 3881
Recent Journals
- Scientific reports 5971
- Sensors (Basel, Switzerland) 4794
- PloS one 4022
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1860
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1131
- Journal of chemical information and modeling 1000
- Nature communications 949
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 826