AIMC Topic: Mental Health
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Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents' mental health.
Health & place
Aug 7, 2019
Previous studies have shown that perceptions of neighborhood safety are associated with various mental health outcomes. However, scant attention has been paid to the mediating pathways by which perception of neighborhood safety affects mental health....
Use of Social Robots in Mental Health and Well-Being Research: Systematic Review.
Journal of medical Internet research
Jul 24, 2019
BACKGROUND: Technology-assisted clinical interventions are increasingly common in the health care field, often with the proposed aim to improve access to and cost-effectiveness of care. Current technology platforms delivering interventions are largel...
See your mental state from your walk: Recognizing anxiety and depression through Kinect-recorded gait data.
PloS one
May 22, 2019
As the challenge of mental health problems such as anxiety and depression increasing today, more convenient, objective, real-time assessing techniques of mental state are in need. The Microsoft Kinect camera is a possible option for contactlessly cap...
How do "robopets" impact the health and well-being of residents in care homes? A systematic review of qualitative and quantitative evidence.
International journal of older people nursing
May 9, 2019
BACKGROUND: Robopets are small animal-like robots which have the appearance and behavioural characteristics of pets.
Using Health Chatbots for Behavior Change: A Mapping Study.
Journal of medical systems
Apr 4, 2019
This study conducts a mapping study to survey the landscape of health chatbots along three research questions: What illnesses are chatbots tackling? What patient competences are chatbots aimed at? Which chatbot technical enablers are of most interest...
Machine learning in mental health: a scoping review of methods and applications.
Psychological medicine
Feb 12, 2019
BACKGROUND: This paper aims to synthesise the literature on machine learning (ML) and big data applications for mental health, highlighting current research and applications in practice.
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...
Forensic Psychiatry
Tasmania
Natural Language Processing
Humans
Ethics, Medical
Unified Medical Language System
Algorithms
Support Vector Machine
Reproducibility of Results
Electronic Health Records
Mental Health Services
Sensitivity and Specificity
Regression Analysis
Mental Health
Inpatients
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...
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