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Enhanced Word Embedding Variations for the Detection of Substance Abuse and Mental Health Issues on Social Media Writings

Diana Ramirez-Cifuentes, Christine Largeron, Julien Tissier, Ricardo Baeza-Yates, Ana Freire
2021 IEEE Access  
Substance abuse and mental health issues are severe conditions that affect millions. Signs of certain conditions have been traced on social media through the analysis of posts.  ...  We also generate enhanced word embeddings for binary and multi-class classification tasks dedicated to the detection of these types of posts.  ...  Her research is focused on the application of computational techniques to address mental health issues on social media.  ... 
doi:10.1109/access.2021.3112102 fatcat:25wbi6elffburkmhvjwrhijdrm

Extracting social determinants of health from electronic health records using natural language processing: a systematic review

Braja G Patra, Mohit M Sharma, Veer Vekaria, Prakash Adekkanattu, Olga V Patterson, Benjamin Glicksberg, Lauren A Lepow, Euijung Ryu, Joanna M Biernacka, Al'ona Furmanchuk, Thomas J George, William Hogan (+10 others)
2021 JAMIA Journal of the American Medical Informatics Association  
Social determinants of health (SDoH) are nonclinical dispositions that impact patient health risks and clinical outcomes.  ...  This article presents a systematic review of the state-of-the-art NLP approaches and tools that focus on identifying and extracting SDoH data from unstructured clinical text in EHRs.  ...  Greenwald et al 20 created lexicons for housing, financial issues, substance use, social and psychosocial support, substance abuse, and physical abuse from multiple focus group conversations with front-line  ... 
doi:10.1093/jamia/ocab170 pmid:34613399 pmcid:PMC8633615 fatcat:qvxulgar5bcuhov2xtakcor6le

Text Classification Models for the Automatic Detection of Nonmedical Prescription Medication Use from Social Media [article]

Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O'Connor, Graciela Gonzalez-Hernandez, Jeanmarie Perrone, Abeed Sarker
2020 medRxiv   pre-print
In this paper, we describe the development and evaluation of automatic text classification models for detecting self-reports of PM abuse from Twitter.  ...  Prescription medication (PM) misuse/abuse has emerged as a national crisis in the United States, and social media has been suggested as a potential resource for performing active monitoring.  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.  ... 
doi:10.1101/2020.04.13.20064089 fatcat:iei7ywd3lzc3dejklcyhfrvoty

Text classification models for the automatic detection of nonmedical prescription medication use from social media

Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O'Connor, Gonzalez-Hernandez Graciela, Jeanmarie Perrone, Abeed Sarker
2021 BMC Medical Informatics and Decision Making  
In this paper, we describe the development and evaluation of automatic text classification models for detecting self-reports of PM abuse from Twitter.  ...  Background Prescription medication (PM) misuse/abuse has emerged as a national crisis in the United States, and social media has been suggested as a potential resource for performing active monitoring.  ...  Related work Recent efforts for the analysis of social media text for studying PM and drug abuse can be categorized into three groups on the basis of the methodology employed: (i) manual analysis; (ii)  ... 
doi:10.1186/s12911-021-01394-0 pmid:33499852 fatcat:peoffb3hojbi5chkzkvt2klcjy

Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention

Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randy Welton, Jyotishman Pathak
2019 The World Wide Web Conference on - WWW '19  
A report by Substance Abuse and Mental Health Services Administration (SAMHSA) shows that 80% of the patients suffering from Borderline Personality Disorder (BPD) have suicidal behavior, 5-10% of whom  ...  Mental health illness such as depression is a significant risk factor for suicide ideation, behaviors, and attempts.  ...  ACKNOWLEDGEMENT We acknowledge partial support from the National Science Foundation (NSF) award CNS-1513721: "Context-Aware Harassment Detection on Social Media", National Institutes of Health (NIH) award  ... 
doi:10.1145/3308558.3313698 dblp:conf/www/GaurASKTKSWP19 fatcat:gzptoqtwk5gfzliztvzufipis4

Mining social media data for biomedical signals and health-related behavior [article]

Rion Brattig Correia and Ian B. Wood and Johan Bollen and Luis M. Rocha
2020 arXiv   pre-print
Here we review recent work in mining social media for biomedical, epidemiological, and social phenomena information relevant to the multilevel complexity of human health.  ...  We pay particular attention to topics where social media data analysis has shown the most progress, including pharmacovigilance, sentiment analysis especially for mental health, and other areas.  ...  The authors would like to thank Deborah Rocha for editing this review and Marijn ten  ... 
arXiv:2001.10285v1 fatcat:rbpjmvltkjderdrbzz4midfxey

The Biological Embedding of Child Abuse and Neglect: Implications for Policy and Practice and commentaries

Sara R. Jaffee, Cindy W. Christian
2014 Social Policy Report  
The authors of this SPR issue remind us of the long-term and detrimental consequences of children who are not protected from abuse and neglect, particularly the impact on brain and behavioral development  ...  Researchers have long recognized that maltreatment has adverse effects on children's mental health and academic achievement.  ...  Social Policy Report V28 #1 13 The Biological Embedding of Child Abuse and Neglect: Implications for Policy and Practice The Biological Embedding of Child Abuse and Neglect: Implications for Policy  ... 
doi:10.1002/j.2379-3988.2014.tb00078.x fatcat:etq3maa5vfc3bh5yb64xovqlty

Exploring the Association Between the "Big Five" Personality Traits and Fatal Opioid Overdose: County-Level Empirical Analysis

Zhasmina Tacheva, Anton Ivanov
2021 JMIR Mental Health  
for using social media data to glean these psychological factors in a real-time, reliable, and scalable manner.  ...  Although addressing addiction-the heart of this problem-ought to remain a priority for health practitioners, examining the community-level psychological factors with a known impact on health behaviors  ...  and response), social media surveillance offers quicker detection and response [22] .  ... 
doi:10.2196/24939 pmid:33683210 pmcid:PMC7985797 fatcat:4yjhj7elfnghtjmftm3jryvoaq

Lightme: Analysing Language in Internet Support Groups for Mental Health [article]

Gabriela Ferraro and Brendan Loo Gee and Shenjia Ji and Luis Salvador-Carulla
2020 arXiv   pre-print
Methods: Natural Language Processing and Machine Learning technologies were used to build a triage post classifier using a dataset from Reachout mental health forum for young people.  ...  Results: When comparing with the state-of-the-art, a solution mainly based on features from lexical resources, received the best classification performance for the crisis posts (52%), which is the most  ...  Similarly, the use of TF-IDF showed comparative results to triage text classifiers for Twitter [32] , and an online support forum for substance abuse [21] .  ... 
arXiv:2007.00824v2 fatcat:g3e6x6e23nggjdvrcg22mosvvi

The Intersection of Intimate Partner Violence and Traumatic Brain Injury: A Call for Interdisciplinary Research

Gwen Hunnicutt, Kristine Lundgren, Christine Murray, Loreen Olson
2016 Journal of Family Violence  
To that end, we consider the relationship between IPV and TBI; the difficulty in detecting and measuring the IPV-related TBI and ethical concerns that may arise when addressing this issue.  ...  However, most scholars and practitioners working on the problem of IPV have not examined how TBI could be related to their familiar subject of study.  ...  and controlling behaviour on the part of the abuser" (World Health Organization 2012, p. 1).  ... 
doi:10.1007/s10896-016-9854-7 fatcat:rwxtql2uubhehpcav34x4jtn3i

Teens engaged in collaborative health: The feasibility and acceptability of an online skill-building intervention for adolescents at risk for depression

Emily G. Lattie, Joyce Ho, Elizabeth Sargent, Kathryn N. Tomasino, J.D. Smith, C. Hendricks Brown, David C. Mohr
2017 Internet Interventions  
There is an ongoing need for effective and accessible preventive interventions for adolescent depression and substance abuse.  ...  Results: The program attracted and retained users primarily from social media and was used frequently by many of the participants (system login M = 25.62, SD = 16.58).  ...  Acknowledgements This project was supported by the National Institutes of Health (P20 MH090318).  ... 
doi:10.1016/j.invent.2017.02.003 pmid:28584734 pmcid:PMC5456272 fatcat:oorzpdyqtfbndddn7ux3o3ckem

Substance Use Disorders in the U.S. Armed Forces

2015 Military medicine  
Preface Substance abuse has long been an issue of concern for the U.S. population and for its military in particular. Dating as far back as the Revolutionary War, Dr.  ...  Press reports of substance abuse among the military stimulated congressional interest and a call for action.  ...  for notifying Command of mental health and substance abuse disorders.  ... 
doi:10.7205/milmed-d-14-00517 pmid:25735012 fatcat:la7zxthyrzfrtfq5ouwvvjl3pq

Domestic violence and mental health: Correlates and conundrums within and across cultures

Ruth L. Fischbach, Barbara Herbert
1997 Social Science and Medicine  
While still fragmentary, accruing data reveal strengthening associatio:as between domestic violence and mental health.  ...  Depression, stress-related syndromes, chemical dependency and substance (ab)use, and suicide are consequences observed in the context of violence in women's lives.  ...  The mental, physical, and social health of women compels this global endeavor. SSM 45/8--B  ... 
doi:10.1016/s0277-9536(97)00022-1 pmid:9381230 fatcat:62hkynr5afdwxcdag3r3rtuq6a

Psychiatry in the Digital Age: A Blessing or a Curse?

Carl B. Roth, Andreas Papassotiropoulos, Annette B. Brühl, Undine E. Lang, Christian G. Huber
2021 International Journal of Environmental Research and Public Health  
Social distancing and the shortage of healthcare professionals during the COVID-19 pandemic, the impact of population aging on the healthcare system, as well as the rapid pace of digital innovation are  ...  charting; digital language translators; and online mental health resources for patients.  ...  They have used various sources of data, for example, EHR, medical discharge notes, NLP (key words and acoustic features), and data from social media [192] .  ... 
doi:10.3390/ijerph18168302 pmid:34444055 pmcid:PMC8391902 fatcat:ve77fhm43jdqxkiqem6hn5ydhe

How the Public Engages With Brain Optimization

Cliodhna O'Connor, Helene Joffe
2015 Science, Technology and Human Values  
This article considers these continuities and discontinuities in light of their wider cultural significance and their implications for the media-mind relationship in public engagement with neuroscience  ...  In the burgeoning debate about neuroscience's role in contemporary society, the issue of brain optimization, or the application of neuroscientific knowledge and technologies to augment neurocognitive function  ...  In the media, the most salient locus of concern was substance abuse, with articles intermittently cautioning against risks posed by recreational drug or alcohol consumption.  ... 
doi:10.1177/0162243915576374 pmid:26336326 pmcid:PMC4531115 fatcat:63w5lhsw2vdsfjbve2sv6dxhri
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