Comparisons of Australian Mental Health Distributions [PDF]
arXiv, 2021Bayesian nonparametric estimates of Australian mental health distributions are obtained to assess how the mental health status of the population has changed over time and to compare the mental health status of female/male and indigenous/non-indigenous population subgroups.
arxiv
Trauma lurking in the shadows: A Reddit case study of mental health issues in online posts about Childhood Sexual Abuse [PDF]
arXiv, 2023Childhood Sexual Abuse (CSA) is a menace to society and has long-lasting effects on the mental health of the survivors. From time to time CSA survivors are haunted by various mental health issues in their lifetime. Proper care and attention towards CSA survivors facing mental health issues can drastically improve the mental health conditions of CSA ...
arxiv
Technology in Association With Mental Health: Meta-ethnography [PDF]
arXiv, 2023This 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
Robotics Technology in Mental Health Care [PDF]
Artificial Intelligence in Behavioral Health and Mental Health Care (2015) 185-203;, 2015This chapter discusses the existing and future use of robotics and intelligent sensing technology in mental health care. While the use of this technology is nascent in mental health care, it represents a potentially useful tool in the practitioner's toolbox. The goal of this chapter is to provide a brief overview of the field, discuss the recent use of
arxiv +1 more source
Gendered Mental Health Stigma in Masked Language Models [PDF]
arXiv, 2022Mental health stigma prevents many individuals from receiving the appropriate care, and social psychology studies have shown that mental health tends to be overlooked in men. In this work, we investigate gendered mental health stigma in masked language models.
arxiv
On Curating Responsible and Representative Healthcare Video Recommendations for Patient Education and Health Literacy: An Augmented Intelligence Approach [PDF]
arXiv, 2022Studies suggest that one in three US adults use the Internet to diagnose or learn about a health concern. However, such access to health information online could exacerbate the disparities in health information availability and use. Health information seeking behavior (HISB) refers to the ways in which individuals seek information about their health ...
arxiv
Quantifying language changes surrounding mental health on Twitter [PDF]
arXiv, 2021Mental 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
MentSum: A Resource for Exploring Summarization of Mental Health Online Posts [PDF]
arXiv, 2022Mental health remains a significant challenge of public health worldwide. With increasing popularity of online platforms, many use the platforms to share their mental health conditions, express their feelings, and seek help from the community and counselors.
arxiv
The opportunities and risks of large language models in mental health [PDF]
JMIR Ment Health 2024;11:e59479Global rates of mental health concerns are rising, and there is increasing realization that existing models of mental health care will not adequately expand to meet the demand. With the emergence of large language models (LLMs) has come great optimism regarding their promise to create novel, large-scale solutions to support mental health. Despite their
arxiv +1 more source
Mobile Health Solution for College Student Mental Health: Interview Study and Design Requirement Analysis [PDF]
arXiv, 2022Background: Mental health problems are prevalent in college students. The COVID-19 pandemic exacerbated the problems, and created a surge in the popularity of telehealth and mobile health solutions. Despite that mobile health is a promising approach to help students with mental health needs, few studies exist in investigating key features students need
arxiv