AIMC Topic: Mental Health

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Exploring COVID-19-Related Stressors: Topic Modeling Study.

Journal of medical Internet research Jul 13, 2022
BACKGROUND: The COVID-19 pandemic has affected the lives of people globally for over 2 years. Changes in lifestyles due to the pandemic may cause psychosocial stressors for individuals and could lead to mental health problems. To provide high-quality...
SARS-CoV-2 Mental Health Prevalence Pandemics COVID-19 United States Social Media Natural Language Processing Latent Class Analysis Stress, Psychological Humans
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Deep Learning-Based Mental Health Model on Primary and Secondary School Students' Quality Cultivation.

Computational intelligence and neuroscience Jul 6, 2022
The purpose was to timely identify the mental disorders (MDs) of students receiving primary and secondary education (PSE) (PSE students) and improve their mental quality. Firstly, this work analyzes the research status of the mental health model (MHM...
Students Algorithms Deep Learning Mental Health Schools Humans Child Neural Networks, Computer
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A Machine Learning Approach for Predicting Non-Suicidal Self-Injury in Young Adults.

Sensors (Basel, Switzerland) Jun 24, 2022
Artificial intelligence techniques were explored to assess the ability to anticipate self-harming behaviour in the mental health context using a database collected by an app previously designed to record the emotional states and activities of a group...
Young Adult Artificial Intelligence Mental Health Machine Learning Self-Injurious Behavior Humans Emotions
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A deep learning based method for intelligent detection of seafarers' mental health condition.

Scientific reports May 12, 2022
Mental health monitoring of seafarers is an important part of achieving normal development of the ocean shipping industry. In this paper, a dual subjective-objective testing scheme is proposed to achieve a more effective and intelligent assessment of...
Reproducibility of Results Mental Health Deep Learning Humans Mental Disorders Ships
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Using Convolutional Neural Networks for the Assessment Research of Mental Health.

Computational intelligence and neuroscience May 9, 2022
Existing mental health assessment methods mainly rely on experts' experience, which has subjective bias, so convolutional neural networks are applied to mental health assessment to achieve the fusion of face, voice, and gait. Among them, the OpenPose...
Gait Face Neural Networks, Computer Algorithms Mental Health
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Building trust in artificial intelligence and new technologies in mental health.

Evidence-based mental health Apr 20, 2022
Artificial Intelligence Psychiatry Trust Mental Health Humans
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Conversational Artificial Intelligence in Psychotherapy: A New Therapeutic Tool or Agent?

The American journal of bioethics : AJOB Apr 1, 2022
Conversational artificial intelligence (CAI) presents many opportunities in the psychotherapeutic landscape-such as therapeutic support for people with mental health problems and without access to care. The adoption of CAI poses many risks that need ...
Communication Psychotherapy Ethical Analysis Artificial Intelligence Mental Health Humans
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Technology Matters: Machine learning approaches to personalised child and adolescent mental health care.

Child and adolescent mental health Feb 26, 2022
There has been much interest in the potential for machine learning and artificial intelligence to enhance health care. In this article, we discuss the potential applications of the technology to child and adolescent mental health services (CAMHS). We...
Family Adolescent Humans Artificial Intelligence Child Technology Machine Learning Mental Health
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Resting-state electroencephalography based deep-learning for the detection of Parkinson's disease.

PloS one Feb 24, 2022
Parkinson's disease (PD) is one of the most serious and challenging neurodegenerative disorders to diagnose. Clinical diagnosis on observing motor symptoms is the gold standard, yet by this point nerve cells are degenerated resulting in a lower effic...
Electroencephalography Wavelet Analysis Membrane Potentials Humans Deep Learning Male Parkinson Disease Middle Aged Aged Female Neural Networks, Computer Mental Health Machine Learning
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Deep Learning-based detection of psychiatric attributes from German mental health records.

International journal of medical informatics Feb 22, 2022
BACKGROUND: Health care records provide large amounts of data with real-world and longitudinal aspects, which is advantageous for predictive analyses and improvements in personalized medicine. Text-based records are a main source of information in me...
Humans Deep Learning Neural Networks, Computer Electronic Health Records Natural Language Processing Mental Health Data Mining
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