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Digital Drug Safety Surveillance: Monitoring Pharmaceutical Products in Twitter

Clark C. Freifeld, John S. Brownstein, Christopher M. Menone, Wenjie Bao, Ross Filice, Taha Kass-Hout, Nabarun Dasgupta
2014 Drug Safety  
Objective The aim of the study was to evaluate the level of concordance between Twitter posts mentioning AE-like reactions and spontaneous reports received by a regulatory agency.  ...  Data were filtered using a semi-automated process to identify posts with resemblance to AEs (Proto-AEs).  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided  ... 
doi:10.1007/s40264-014-0155-x pmid:24777653 pmcid:PMC4013443 fatcat:olq4jqbrifex5n6u2qpx3g2zia

Secondary Use of Recorded or Self-expressed Personal Data: Consumer Health Informatics and Education in the Era of Social Media and Health Apps

P. Staccini, L. Fernandez-Luque
2017 IMIA Yearbook of Medical Informatics  
Objective: To summarize the state of the art during the year 2016 in the areas related to consumer health informatics and education with a special emphasis in secondary use of patient data.  ...  Methods: We conducted a systematic review of articles published in 2016, using PubMed with a predefined set of queries. We identified over 320 potential articles for review.  ...  As in previous years, we have reviewed the literature in the area of consumer health informatics and education.  ... 
doi:10.1055/s-0037-1606498 fatcat:ewcgorrhjzebjgvsge37pedom4

Secondary Use of Recorded or Self-expressed Personal Data: Consumer Health Informatics and Education in the Era of Social Media and Health Apps

P. Staccini, L. Fernandez-Luque
2017 IMIA Yearbook of Medical Informatics  
Objective: To summarize the state of the art during the year 2016 in the areas related to consumer health informatics and education with a special emphasis in secondary use of patient data.  ...  Methods: We conducted a systematic review of articles published in 2016, using PubMed with a predefined set of queries. We identified over 320 potential articles for review.  ...  As in previous years, we have reviewed the literature in the area of consumer health informatics and education.  ... 
doi:10.15265/iy-2017-037 pmid:29063560 pmcid:PMC6239239 fatcat:7vx4hdznwvaupjnpcgxyo7gsme

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

A. Nikfarjam, A. Sarker, K. O'Connor, R. Ginn, G. Gonzalez
2015 JAMIA Journal of the American Medical Informatics Association  
This information can be utilized for public health monitoring tasks, particularly for pharmacovigilance, via the use of natural language processing (NLP) techniques.  ...  The similarities are modeled by clustering words based on unsupervised, pretrained word representation vectors (embeddings) generated from unlabeled user posts in social media using a deep learning technique  ...  extensive ADR lexicons, such as Side Effect Resource (SIDER, containing known ADRs), 32, 33 Consumer Health Vocabulary (CHV, containing consumer alternatives for medical concepts), 34 Medical Dictionary  ... 
doi:10.1093/jamia/ocu041 pmid:25755127 pmcid:PMC4457113 fatcat:wrekcivgkrf3rbbgl5mdym2c4y

Social media for arthritis-related comparative effectiveness and safety research and the impact of direct-to-consumer advertising

Jeffrey R. Curtis, Lang Chen, Phillip Higginbotham, W. Benjamin Nowell, Ronit Gal-Levy, James Willig, Monika Safford, Joseph Coe, Kaitlin O'Hara, Roee Sa'adon
2017 Arthritis Research & Therapy  
The units of analysis were unique terms in posts.  ...  There was a threefold increase in posts following television direct-to-consumer advertisement (p = 0.04); posts expressing medication safety concerns were significantly more frequent than favorable posts  ...  The University of Alabama at Birmingham (UAB) Institutional Review Board for Human Use (IRB) governed the study protocol.  ... 
doi:10.1186/s13075-017-1251-y pmid:28270190 pmcid:PMC5341200 fatcat:oaxcvkly4fg3vaeatugkqoc7f4

Detection of Adverse Drug Reactions using Medical Named Entities on Twitter

Andrew MacKinlay, Hafsah Aamer, Antonio Jimeno Yepes
2018 AMIA Annual Symposium Proceedings  
The broad scope of social media conversations on sites such as Twitter means that inevitably health-related topics will be covered.  ...  We compare the ADRs identified using our method to the FDA Adverse Event Reporting System (FAERS) database of ADRs reported using more traditional techniques, and find that Twitter is a useful resource  ...  Most of the side effects predicted by Twitter match the ADRs in FAERS.  ... 
pmid:29854190 pmcid:PMC5977585 fatcat:ktqewifj3vejjo3e55lhkchmsu

Assessing the credibility and authenticity of social media content. Lessons and applications for health communication: a scoping review of the literature. (Preprint)

Eva Louise Jenkins, Jasmina Ilicic, Amy Merrilyn Barklamb, Tracy A McCaffrey
2019 Journal of Medical Internet Research  
Source credibility and, to an extent, authenticity have been widely studied in marketing and communications but have not yet been considered in the context of nutrition or health communication.  ...  Instagram is a less-researched platform in comparison with Facebook and Twitter.  ...  Communicating Health is funded by the National Health and Medical Research Council (grant number GNT1115496).  ... 
doi:10.2196/17296 pmid:32706675 fatcat:wgecft4vszb6lc5fjqujlrnp6q

Pharmacovigilance on twitter? Mining tweets for adverse drug reactions

Karen O'Connor, Pranoti Pimpalkhute, Azadeh Nikfarjam, Rachel Ginn, Karen L Smith, Graciela Gonzalez
2014 AMIA Annual Symposium Proceedings  
Recent research has shown that Twitter data analytics can have broad implications on public health research.  ...  However, its value for pharmacovigilance has been scantly studied - with health related forums and community support groups preferred for the task.  ...  drugs and 3,279 adverse reactions. 17 We added terms from SIDER 2 16 and the Consumer Health Vocabulary (CHV) 18 , which includes more colloquialisms.  ... 
pmid:25954400 pmcid:PMC4419871 fatcat:vvuotqlbljd2fmcsccseyadmjm

Automatic Breast Cancer Survivor Detection from Social Media for Studying Latent Factors Affecting Treatment Success [article]

Abeed Sarker, Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker
2020 medRxiv   pre-print
Qualitative analyses of posts from automatically-detected users revealed discussions about side effects, non-adherence, and mental health conditions, illustrating the feasibility of our social media-based  ...  PCOs are not detectable through laboratory tests and are sparsely documented in electronic health records.  ...  Most of the past studies focusing on PCOs have either relied on only small populations of clinical trial patients or analyzed short-term side effects collected during frequent clinic visit periods.  ... 
doi:10.1101/2020.05.17.20104778 fatcat:vwncebqdvbbh3cu25m2v2atnq4

Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework

2019 JAMIA Journal of the American Medical Informatics Association  
The development of reproducible and standardized data-centric frameworks that build on the current state-of-the-art methods in data and text mining may enable effective utilization of social media data  ...  We identified studies involving social media, PMs, and misuse or abuse (inclusion criteria) from Medline, Embase, Scopus, Web of Science, and Google Scholar.  ...  A random sample of 258 posts were manually annotated to identify intent, dosage, and side effects.  ... 
doi:10.1093/jamia/ocz162 pmid:31584645 pmcid:PMC7025330 fatcat:ilk34pcwkjdgvectwvz26hheoq

Spin your science into gold: direct to consumer marketing within social media platforms

David Egilman, Nicholas M. Druar
2012 Work : A journal of Prevention, Assesment and rehabilitation  
These searches were done in the summer of 2011.  ...  We used to search the scientific literature using key search terms including, internet, social media, direct to consumer, DTC, and pharmaceutical direct to consumer.  ...  [86] Despite the fact that companies can delete these comments as soon as they are posted they were concerned that "open walls" would lead to the reporting of side effects, promotion of off-label use  ... 
doi:10.3233/wor-2012-0751-4494 fatcat:puvsb2muf5d53i3buhzcqf2vba

Advances in Social Media Research: Past, Present and Future

Kawaljeet Kaur Kapoor, Kuttimani Tamilmani, Nripendra P. Rana, Pushp Patil, Yogesh K. Dwivedi, Sridhar Nerur
2017 Information Systems Frontiers  
The same employees also share positive posts, and the adverse effect of the few negative posts is offset by positive ones.  ...  Businesses looking to monetize online content and social search rely heavily on substantial understanding of consumer behaviour in terms of their interaction and participation in social settings ).  ... 
doi:10.1007/s10796-017-9810-y fatcat:nw5w2cxkynfztfbzzcnm6nfgy4

Topics of nicotine-related discussions on Twitter: quitting, withdrawal, and hypnotherapy (Preprint)

Jon-Patrick Allem, Allison Dormanesh, Anuja Majmundar, Jennifer B. Unger, Matthew G. Kirkpatrick, Akshat Choube, Aneesh Aithal, Emilio Ferrara, Tess Boley Cruz
2020 Journal of Medical Internet Research  
Text classifiers were used to identify topics in posts (n=300,360).  ...  The goal of this study was to identify and describe nicotine-related topics of conversation authored by the public and social bots on Twitter, including any misinformation or misconceptions that health  ...  The funders had no role in study design; collection, analysis, and interpretation of data; writing the report; and the decision to submit the report for publication.  ... 
doi:10.2196/25579 pmid:34096875 fatcat:midm36ohtva2rfpgw5qdtabiga

Identifying personal health experience tweets with deep neural networks

Keyuan Jiang, Ravish Gupta, Matrika Gupta, Ricardo A. Calix, Gordon R. Bernard
2017 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
These factors pose challenges in identifying personal health experience tweets from the Twitter data.  ...  Twitter data are known for their irregular usages of languages and informal short texts due to the 140 character limit, and for their noisiness such that majority of the posts are irrelevant to any particular  ...  Acknowledgments Authors wish to thank Yongbing Tang for collecting the Twitter data, and Cecelia Lai for annotating the tweets.  ... 
doi:10.1109/embc.2017.8037039 pmid:29060084 pmcid:PMC5702551 dblp:conf/embc/JiangGGCB17 fatcat:vukcztehtjhjjlrlroefcbzsca

Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter

Cosme Adrover, Todd Bodnar, Zhuojie Huang, Amalio Telenti, Marcel Salathé
2015 JMIR Public Health and Surveillance  
Methods: We describe a combined approach of machine learning and crowdsourced human assessment to identify adverse effects of HIV drug treatment solely on individual reports posted publicly on Twitter.  ...  Social media platforms are increasingly seen as a source of data on a wide range of health issues. Twitter is of particular interest for public health surveillance because of its public nature.  ...  Acknowledgments MS gratefully acknowledges the National Institutes of Health Research and Policy for Infectious Disease Dynamics support.  ... 
doi:10.2196/publichealth.4488 pmid:27227141 pmcid:PMC4869211 fatcat:5l3vrknar5cklhemnhsbjydlue
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