AIMC Topic: Social Support
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Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis.
Epilepsia
May 8, 2020
OBJECTIVE: Digital media conversations can provide important insight into the concerns and struggles of people with epilepsy (PWE) outside of formal clinical settings and help generate useful information for treatment planning. Our study aimed to exp...
User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis.
Journal of medical Internet research
Mar 6, 2020
BACKGROUND: Previous research suggests that artificial agents may be a promising source of social support for humans. However, the bulk of this research has been conducted in the context of social support interventions that specifically address stres...
Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: A systematic review.
Health informatics journal
Jan 22, 2020
There is growing interest in the potential of artificial intelligence to support decision-making in health and social care settings. There is, however, currently limited evidence of the effectiveness of these systems. The aim of this study was to inv...
Enablers and barriers to the implementation of socially assistive humanoid robots in health and social care: a systematic review.
BMJ open
Jan 9, 2020
OBJECTIVES: Socially assistive humanoid robots are considered a promising technology to tackle the challenges in health and social care posed by the growth of the ageing population. The purpose of our study was to explore the current evidence on barr...
A Research Roadmap: Connected Health as an Enabler of Cancer Patient Support.
Journal of medical Internet research
Oct 29, 2019
The evidence that quality of life is a positive variable for the survival of cancer patients has prompted the interest of the health and pharmaceutical industry in considering that variable as a final clinical outcome. Sustained improvements in cance...
Identifying Features that Enhance Older Adults' Acceptance of Robots: A Mixed Methods Study.
Gerontology
Mar 7, 2019
BACKGROUND: With global aging, robots are considered a promising solution for handling the shortage of aged care and companionships. However, these technologies would serve little purpose if their intended users do not accept them. While the socioemo...
BP neural network prediction model for suicide attempt among Chinese rural residents.
Journal of affective disorders
Dec 27, 2018
OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) prediction model for suicide attempt, so as to improve the individual prediction accuracy.
Neural Networks, Computer
Depressive Disorder
Female
Impulsive Behavior
Risk Factors
Humans
Social Support
Middle Aged
Surveys and Questionnaires
Suicide, Attempted
Young Adult
Self Concept
Adolescent
Logistic Models
Case-Control Studies
Adult
Asian People
Rural Population
China
Child
Sensitivity and Specificity
Adaptation, Psychological
Male
Ensemble machine learning prediction of posttraumatic stress disorder screening status after emergency room hospitalization.
Journal of anxiety disorders
Oct 30, 2018
Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. Inexpensive and accurate person-level assessment of PTSD risk after trauma exposure is a critical precursor to large-scale deployment of early intervent...
Machine learning to support social media empowered patients in cancer care and cancer treatment decisions.
PloS one
Oct 18, 2018
BACKGROUND: A primary variant of social media, online support groups (OSG) extend beyond the standard definition to incorporate a dimension of advice, support and guidance for patients. OSG are complementary, yet significant adjunct to patient journe...
Social Robots for People with Aging and Dementia: A Systematic Review of Literature.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Aug 23, 2018
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