Results 1 to 10 of about 3,488,058 (388)
Technology in Association With Mental Health: Meta-ethnography [PDF]
arXiv, 2023 This research paper presents a meta-analysis of the multifaceted role of technology in mental health. The pervasive influence of technology on daily lives necessitates a deep understanding of its impact on mental health services. This study synthesizes literature covering Behavioral Intervention Technologies (BITs), digital mental health interventions ...
arxiv
Quantifying language changes surrounding mental health on Twitter [PDF]
arXiv, 2021 Mental health challenges are thought to afflict around 10% of the global population each year, with many going untreated due to stigma and limited access to services. Here, we explore trends in words and phrases related to mental health through a collection of 1- , 2-, and 3-grams parsed from a data stream of roughly 10% of all English tweets since ...
arxiv
Understanding and Mitigating Mental Health Misinformation on Video Sharing Platforms [PDF]
arXiv, 2023 Despite the ever-strong demand for mental health care globally, access to traditional mental health services remains severely limited expensive, and stifled by stigma and systemic barriers. Thus, over the last few years, young people are increasingly turning to content on video-sharing platforms (VSPs) like TikTok and YouTube to help them navigate ...
arxiv
On the Privacy of Mental Health Apps: An Empirical Investigation and its Implications for Apps Development [PDF]
, 2022 An increasing number of mental health services are offered through mobile systems, a paradigm called mHealth. Although there is an unprecedented growth in the adoption of mHealth systems, partly due to the COVID-19 pandemic, concerns about data privacy risks due to security breaches are also increasing.
arxiv +1 more source
Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring [PDF]
arXiv, 2022 Understanding human behavior and monitoring mental health are essential to maintaining the community and society's safety. As there has been an increase in mental health problems during the COVID-19 pandemic due to uncontrolled mental health, early detection of mental issues is crucial.
arxiv
Deep Learning Mental Health Dialogue System [PDF]
6th International Workshop on Dialog Systems (IWDS); 10th IEEE
International Conference on Big Data and Smart Computing (2022 BigComp), 2023 Mental health counseling remains a major challenge in modern society due to cost, stigma, fear, and unavailability. We posit that generative artificial intelligence (AI) models designed for mental health counseling could help improve outcomes by lowering barriers to access.
arxiv
Temperature and Mental Health: Evidence from Helpline Calls [PDF]
arXiv, 2022 This paper studies the short-term effects of ambient temperature on mental health using data on nearly half a million helpline calls in Germany. Leveraging location-based routing of helpline calls and random day-to-day weather fluctuations, I find a negative effect of temperature extremes on mental health as revealed by an increase in the demand for ...
arxiv
Amity -- A Hybrid Mental Health Application [PDF]
arXiv, 2023 Wellness in trivial terms combines physical, social, and mental wellbeing. While mental health is neglected, long-term success in a person life is mostly determined by his psychological health and contentment. For a person in distress, professional mental health services are quite expensive, unpopular, and invite a lot of hesitation. Hence, it would be
arxiv
Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR [PDF]
arXiv, 2020 Multimorbidity research in mental health services requires data from physical health conditions which is traditionally limited in mental health care electronic health records. In this study, we aimed to extract data from physical health conditions from clinical notes using SemEHR. Data was extracted from Clinical Record Interactive Search (CRIS) system
arxiv
Designing Technologies for Value-based Mental Healthcare: Centering Clinicians' Perspectives on Outcomes Data Specification, Collection, and Use [PDF]
Health information technologies are transforming how mental healthcare is paid for through value-based care programs, which tie payment to data quantifying care outcomes. But, it is unclear what outcomes data these technologies should store, how to engage users in data collection, and how outcomes data can improve care.
arxiv +1 more source