AIMC Topic: Mental Disorders

Clear Filters Showing 211 to 220 of 290 articles

Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

BMJ open Jan 17, 2017
OBJECTIVES: We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research.
Information Storage and Retrieval Medical Informatics London Medical Informatics Applications Chronic Disease Humans Natural Language Processing Mental Disorders Registries Databases, Factual Data Collection Electronic Health Records
View on PubMed DOI

Advanced literature analysis in a Big Data world.

Annals of the New York Academy of Sciences Nov 10, 2016
Comprehensive data mining of the scientific literature has become an increasing challenge. To address this challenge, Elsevier's Pathway Studio software uses the techniques of natural language processing to systematically extract specific biological ...
Bipolar Disorder Computational Biology United States Mass Screening Biomedical Research Animals Depressive Disorder, Major Anxiety Disorders Data Mining Abstracting and Indexing National Institute of Mental Health (U.S.) Database Management Systems Databases, Bibliographic Natural Language Processing Periodicals as Topic Translational Research, Biomedical Schizophrenia Humans Software Mental Disorders Biomarkers Prognosis
View on PubMed DOI

Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Computational and mathematical methods in medicine Sep 26, 2016
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants re...
Suicide, Attempted Diagnosis, Computer-Assisted Surveys and Questionnaires Humans Adult Machine Learning Psychometrics Sensitivity and Specificity Text Messaging Algorithms Follow-Up Studies Male Mental Disorders Reminder Systems Mental Health Services Middle Aged Hospitals, Psychiatric Predictive Value of Tests Natural Language Processing Patient Discharge Telemedicine Spain Self-Injurious Behavior Female Reproducibility of Results Hospitalization Young Adult
View on PubMed DOI

Can Artificial Intelligences Suffer from Mental Illness? A Philosophical Matter to Consider.

Science and engineering ethics Jun 28, 2016
The potential for artificial intelligences and robotics in achieving the capacity of consciousness, sentience and rationality offers the prospect that these agents have minds. If so, then there may be a potential for these minds to become dysfunction...
Robotics Consciousness Philosophy Humans Artificial Intelligence Mental Disorders
View on PubMed DOI

Effectiveness of a social robot, "Paro," in a VA long-term care setting.

Psychological services May 19, 2016
Interest in animal assisted interventions (AAI) has grown over the years, but acceptance of AAI by the clinical and research community has been hampered by safety, hygiene, and logistical concerns. Advances in the field of social robotics have provid...
Reinforcement, Social Therapy, Computer-Assisted Social Behavior Patient Acceptance of Health Care Long-Term Care Mental Disorders Aged Male Pilot Projects Alzheimer Disease Follow-Up Studies Affect Humans Robotics Veterans
View on PubMed DOI

Using natural language processing to provide personalized learning opportunities from trainee clinical notes.

Journal of biomedical informatics Jun 10, 2015
OBJECTIVE: Assessment of medical trainee learning through pre-defined competencies is now commonplace in schools of medicine. We describe a novel electronic advisor system using natural language processing (NLP) to identify two geriatric medicine com...
Natural Language Processing Algorithms Humans Outcome Assessment, Health Care Mental Disorders Learning Academic Medical Centers Clinical Clerkship Software Electronic Health Records Reproducibility of Results Education, Medical Aged Geriatrics Middle Aged Students, Medical Automation Clinical Competence Hospitals, Veterans User-Computer Interface Tennessee Educational Measurement Advance Directives
View on PubMed DOI

Integrating socially assistive robotics into mental healthcare interventions: applications and recommendations for expanded use.

Clinical psychology review Jul 17, 2014
As a field, mental healthcare is faced with major challenges as it attempts to close the huge gap between those who need services and those who receive services. In recent decades, technological advances have provided exciting new resources in this b...
Friends Humans Play and Playthings Mental Disorders Mental Health Services Robotics
View on PubMed DOI

Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics.

Biological psychiatry Aug 15, 2025
Ontologies are structured frameworks for representing knowledge by systematically defining concepts, categories, and their relationships. While widely adopted in biomedicine, ontologies remain largely absent in mental health research and clinical car...
Mental Disorders Psychiatry Biomedical Research Medical Informatics Biological Ontologies Humans
View on PubMed DOI

Optimizing Entity Recognition in Psychiatric Treatment Data with Large Language Models.

Studies in health technology and informatics Aug 7, 2025
Extracting nuanced adverse drug reactions (ADRs) from patient self-reported messages using is pivotal but challenging, particularly given HIPAA constraints. We investigate locally deployable small LLMs-Mistral-7B, Llama-3-8B, and Gemma-7B-for ADR ext...
Natural Language Processing Drug-Related Side Effects and Adverse Reactions Data Mining Adverse Drug Reaction Reporting Systems Large Language Models Humans Mental Disorders Electronic Health Records
View on PubMed DOI

Exploring mental health literacy on twitter: A machine learning approach.

Journal of affective disorders Aug 1, 2025
OBJECTIVES: This study investigates whether reducing mental illness stigma, enhancing help-seeking efficacy, and maintaining positive mental health mediate the relationship between the recognition of mental disorders and help-seeking attitudes.
Social Stigma Health Literacy Help-Seeking Behavior Mental Disorders Humans Mental Health Machine Learning Social Media
View on PubMed DOI
Popular Topics
Recent Journals