Published on in Vol 17, No 7 (2015): July
Journals
- Li X, Lin X, Ren H, Guo J. Ontological Organization and Bioinformatic Analysis of Adverse Drug Reactions From Package Inserts: Development and Usability Study. Journal of Medical Internet Research 2020;22(7):e20443 View
- Karapetiantz P, Bellet F, Audeh B, Lardon J, Leprovost D, Aboukhamis R, Morlane-Hondère F, Grouin C, Burgun A, Katsahian S, Jaulent M, Beyens M, Lillo-Le Louët A, Bousquet C. Descriptions of Adverse Drug Reactions Are Less Informative in Forums Than in the French Pharmacovigilance Database but Provide More Unexpected Reactions. Frontiers in Pharmacology 2018;9 View
- Pierce C, Bouri K, Pamer C, Proestel S, Rodriguez H, Van Le H, Freifeld C, Brownstein J, Walderhaug M, Edwards I, Dasgupta N. Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts. Drug Safety 2017;40(4):317 View
- Convertino I, Ferraro S, Blandizzi C, Tuccori M. The usefulness of listening social media for pharmacovigilance purposes: a systematic review. Expert Opinion on Drug Safety 2018;17(11):1081 View
- Hughes S, Lacasse J, Spaulding-Givens J. The micro-to-macro realities of antidepressant taking: Users’ experiences in the context of contested science and industry promotion. Qualitative Social Work 2020;19(5-6):1219 View
- Alimova I, Tutubalina E. Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models. Programming and Computer Software 2019;45(8):439 View
- Wang W, Cheung B, Leung Z, Chan K, See-To E. A Social Media Mining and Analysis Approach for Supporting Cyber Youth Work. International Journal of Knowledge and Systems Science 2017;8(2):1 View
- Kheloufi F, Default A, Blin O, Micallef J. Investigating patient narratives posted on Internet and their informativeness level for pharmacovigilance purpose: The example of comments about statins. Therapies 2017;72(4):483 View
- Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1 View
- Pappa D, Stergioulas L. Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions. International Journal of Data Science and Analytics 2019;8(2):113 View
- Tutubalina E, Miftahutdinov Z, Nugmanov R, Madzhidov T, Nikolenko S, Alimova I, Tropsha A. Using semantic analysis of texts for the identification of drugs with similar therapeutic effects. Russian Chemical Bulletin 2017;66(11):2180 View
- Gachloo M, Wang Y, Xia J. A review of drug knowledge discovery using BioNLP and tensor or matrix decomposition. Genomics & Informatics 2019;17(2):e18 View
- Zhou L, Zhang D, Yang C, Wang Y. Harnessing social media for health information management. Electronic Commerce Research and Applications 2018;27:139 View
- Krallinger M, Rabal O, Lourenço A, Oyarzabal J, Valencia A. Information Retrieval and Text Mining Technologies for Chemistry. Chemical Reviews 2017;117(12):7673 View
- Safarnejad L, Xu Q, Ge Y, Bagavathi A, Krishnan S, Chen S. Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study. JMIR Public Health and Surveillance 2020;6(3):e17175 View
- Abdellaoui R, Schück S, Texier N, Burgun A. Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?. JMIR Public Health and Surveillance 2017;3(2):e36 View
- Abdellaoui R, Foulquié P, Texier N, Faviez C, Burgun A, Schück S. Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach. Journal of Medical Internet Research 2018;20(3):e85 View
- Liu Y, Shi J, Chen Y. Patient‐centered and experience‐aware mining for effective adverse drug reaction discovery in online health forums. Journal of the Association for Information Science and Technology 2018;69(2):215 View
- Kalf R, Makady A, ten Ham R, Meijboom K, Goettsch W. Use of Social Media in the Assessment of Relative Effectiveness: Explorative Review With Examples From Oncology. JMIR Cancer 2018;4(1):e11 View
- Powell G, Seifert H, Reblin T, Burstein P, Blowers J, Menius J, Painter J, Thomas M, Pierce C, Rodriguez H, Brownstein J, Freifeld C, Bell H, Dasgupta N. Social Media Listening for Routine Post-Marketing Safety Surveillance. Drug Safety 2016;39(5):443 View
- Correia R, Wood I, Bollen J, Rocha L. Mining Social Media Data for Biomedical Signals and Health-Related Behavior. Annual Review of Biomedical Data Science 2020;3(1):433 View
- Sinnenberg L, Buttenheim A, Padrez K, Mancheno C, Ungar L, Merchant R. Twitter as a Tool for Health Research: A Systematic Review. American Journal of Public Health 2017;107(1):e1 View
- Audeh B, Beigbeder M, Zimmermann A, Jaillon P, Bousquet C, Choo K. Vigi4Med Scraper: A Framework for Web Forum Structured Data Extraction and Semantic Representation. PLOS ONE 2017;12(1):e0169658 View
- Bousquet C, Dahamna B, Guillemin-Lanne S, Darmoni S, Faviez C, Huot C, Katsahian S, Leroux V, Pereira S, Richard C, Schück S, Souvignet J, Lillo-Le Louët A, Texier N. The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process. JMIR Research Protocols 2017;6(9):e179 View
- Li F, Liu W, Yu H. Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning. JMIR Medical Informatics 2018;6(4):e12159 View
- Chen X, Faviez C, Schuck S, Lillo-Le-Louët A, Texier N, Dahamna B, Huot C, Foulquié P, Pereira S, Leroux V, Karapetiantz P, Guenegou-Arnoux A, Katsahian S, Bousquet C, Burgun A. Mining Patients' Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate. Frontiers in Pharmacology 2018;9 View
- Dai H, Touray M, Jonnagaddala J, Syed-Abdul S. Feature Engineering for Recognizing Adverse Drug Reactions from Twitter Posts. Information 2016;7(2):27 View
- Abbasi A, Li J, Abbasi S, Adjeroh D, Abate M, Zheng W. Don't Mention It? Analyzing User-Generated Content Signals for Early Adverse Drug Event Warnings. SSRN Electronic Journal 2015 View
- Lardon J, Bellet F, Aboukhamis R, Asfari H, Souvignet J, Jaulent M, Beyens M, Lillo-LeLouët A, Bousquet C. Evaluating Twitter as a complementary data source for pharmacovigilance. Expert Opinion on Drug Safety 2018;17(8):763 View
- Karapetiantz P, Lillo-Le Louët A, Bousquet C. Informativité des forums de discussion français pour l’évaluation des effets indésirables du baclofène. Therapies 2019;74(6):569 View
- Jagannatha A, Liu F, Liu W, Yu H. Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0). Drug Safety 2019;42(1):99 View
- Audeh B, Bellet F, Beyens M, Lillo-Le Louët A, Bousquet C. Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project. Drug Safety 2020;43(9):835 View
- Bravo À, Li T, Su A, Good B, Furlong L. Combining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in text. Database 2016;2016:baw094 View
- Sinha M, Freifeld C, Brownstein J, Donneyong M, Rausch P, Lappin B, Zhou E, Dal Pan G, Pawar A, Hwang T, Avorn J, Kesselheim A. Social Media Impact of the Food and Drug Administration's Drug Safety Communication Messaging About Zolpidem: Mixed-Methods Analysis. JMIR Public Health and Surveillance 2018;4(1):e1 View
- Munkhdalai T, Liu F, Yu H. Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning. JMIR Public Health and Surveillance 2018;4(2):e29 View
- Abbasi A, Li J, Adjeroh D, Abate M, Zheng W. Don’t Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings. Information Systems Research 2019;30(3):1007 View
- Sutphin C, Lee K, Yepes A, Uzuner Ö, McInnes B. Adverse drug event detection using reason assignments in FDA drug labels. Journal of Biomedical Informatics 2020;110:103552 View
- Topaz M, Lai K, Dhopeshwarkar N, Seger D, Sa’adon R, Goss F, Rozenblum R, Zhou L. Clinicians’ Reports in Electronic Health Records Versus Patients’ Concerns in Social Media: A Pilot Study of Adverse Drug Reactions of Aspirin and Atorvastatin. Drug Safety 2016;39(3):241 View
- Dolley S. Big Data’s Role in Precision Public Health. Frontiers in Public Health 2018;6 View
- Bhattacharya M, Snyder S, Malin M, Truffa M, Marinic S, Engelmann R, Raheja R. Using Social Media Data in Routine Pharmacovigilance: A Pilot Study to Identify Safety Signals and Patient Perspectives. Pharmaceutical Medicine 2017;31(3):167 View
- Turner J, Kowey P, Rodriguez I, Cabell C, Gintant G, Green C, Kunz B, Mortara J, Sager P, Stockbridge N, Wright T, Finkle J, Krucoff M. The Cardiac Safety Research Consortium enters its second decade: An invitation to participate. American Heart Journal 2016;177:96 View
- Bollegala D, Maskell S, Sloane R, Hajne J, Pirmohamed M. Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach. JMIR Public Health and Surveillance 2018;4(2):e51 View
- Smith K, Golder S, Sarker A, Loke Y, O’Connor K, Gonzalez-Hernandez G. Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with Adalimumab. Drug Safety 2018;41(12):1397 View
- Tricco A, Zarin W, Lillie E, Jeblee S, Warren R, Khan P, Robson R, Pham B, Hirst G, Straus S. Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review. BMC Medical Informatics and Decision Making 2018;18(1) View
- Borchert J, Wang B, Ramzanali M, Stein A, Malaiyandi L, Dineley K. Adverse Events Due to Insomnia Drugs Reported in a Regulatory Database and Online Patient Reviews: Comparative Study. Journal of Medical Internet Research 2019;21(11):e13371 View
- Audeh B, Calvier F, Bellet F, Beyens M, Pariente A, Lillo-Le Louet A, Bousquet C. Pharmacology and social media: Potentials and biases of web forums for drug mention analysis—case study of France. Health Informatics Journal 2020;26(2):1253 View
- Pathak R, Catalan-Matamoros D. Can Twitter posts serve as early indicators for potential safety signals? A retrospective analysis. International Journal of Risk & Safety in Medicine 2023;34(1):41 View
- Coca J, Coca-Asensio R, Esteban Bueno G. Socio-historical analysis of the social importance of pharmacovigilance. Frontiers in Sociology 2022;7 View
- Dirkson A, den Hollander D, Verberne S, Desar I, Husson O, van der Graaf W, Oosten A, Reyners A, Steeghs N, van Loon W, van Oortmerssen G, Gelderblom H, Kraaij W. Sample Bias in Web-Based Patient-Generated Health Data of Dutch Patients With Gastrointestinal Stromal Tumor: Survey Study. JMIR Formative Research 2022;6(12):e36755 View
- Takats C, Kwan A, Wormer R, Goldman D, Jones H, Romero D. Ethical and Methodological Considerations of Twitter Data for Public Health Research: Systematic Review. Journal of Medical Internet Research 2022;24(11):e40380 View
- Walsh J, Dwumfour C, Cave J, Griffiths F. Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review. BMC Medical Research Methodology 2022;22(1) View
- Dirkson A, Verberne S, Kraaij W, van Oortmerssen G, Gelderblom H. Automated gathering of real-world data from online patient forums can complement pharmacovigilance for rare cancers. Scientific Reports 2022;12(1) View
- Asiri Y. Computing Drug-Drug Similarity from Patient-Centric Data. Bioengineering 2023;10(2):182 View
- Fossouo Tagne J, Yakob R, Dang T, Mcdonald R, Wickramasinghe N. Reporting, Monitoring, and Handling of Adverse Drug Reactions in Australia: Scoping Review. JMIR Public Health and Surveillance 2023;9:e40080 View
- Gordijn R, Wessels W, Kriek E, Nicolai M, Elzevier H, Visser L, Guchelaar H, Teichert M. Patient reporting of sexual adverse events on an online platform for medication experiences. British Journal of Clinical Pharmacology 2022;88(12):5326 View
- Yahya A, Asiri Y, Alyami I, Asghar M. Social Media Analytics for Pharmacovigilance of Antiepileptic Drugs. Computational and Mathematical Methods in Medicine 2022;2022:1 View
- Park S, Choi S, Song Y, Kwon J. Comparison of Online Patient Reviews and National Pharmacovigilance Data for Tramadol-Related Adverse Events: Comparative Observational Study. JMIR Public Health and Surveillance 2022;8(1):e33311 View
- Khademi Habibabadi S, Palmer C, Dimaguila G, Javed M, Clothier H, Buttery J. Australasian Institute of Digital Health Summit 2022–Automated Social Media Surveillance for Detection of Vaccine Safety Signals: A Validation Study. Applied Clinical Informatics 2023;14(01):01 View
- Shakeri Hossein Abad Z, Butler G, Thompson W, Lee J. Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk. Journal of Medical Internet Research 2022;24(1):e28749 View
- Khademi Habibabadi S, Delir Haghighi P, Burstein F, Buttery J. Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study. JMIR Medical Informatics 2022;10(6):e34305 View
- Keller R, Spanu A, Puhan M, Flahault A, Lovis C, Mütsch M, Beau-Lejdstrom R. Social media and internet search data to inform drug utilization: A systematic scoping review. Frontiers in Digital Health 2023;5 View
- Roche V, Robert J, Salam H. AI-Based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum. SSRN Electronic Journal 2021 View
- Golder S, O'Connor K, Wang Y, Gonzalez Hernandez G. The Role of Social Media for Identifying Adverse Drug Events Data in Pharmacovigilance: Protocol for a Scoping Review. JMIR Research Protocols 2023;12:e47068 View
- Roche V, Robert J, Salam H. A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media. Artificial Intelligence in Medicine 2023;144:102638 View
- Nwagwu W, Olayanju O. Aspects of Quality and Reliability of Ebola Virus Disease Information on Facebook. Mousaion: South African Journal of Information Studies 2023;41(1) View
- Lu Q, Schulz P, Chang A. Medication safety perceptions in China: Media exposure, healthcare experiences, and trusted information sources. Patient Education and Counseling 2024;123:108209 View
- Wessel D, Pogrebnyakov N. Using Social Media as a Source of Real-World Data for Pharmaceutical Drug Development and Regulatory Decision Making. Drug Safety 2024;47(5):495 View
- Tricco A, Zarin W, Lillie E, Pham B, Straus S. Utility of social media and crowd-sourced data for pharmacovigilance: a scoping review protocol. BMJ Open 2017;7(1):e013474 View
- Golder S, O'Connor K, Wang Y, Klein A, Gonzalez Hernandez G. The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review. JMIR Public Health and Surveillance 2024;10:e59167 View
- Karapetiantz P, Audeh B, Redjdal A, Tiffet T, Bousquet C, Jaulent M. Monitoring Adverse Drug Events in Web Forums: Evaluation of a Pipeline and Use Case Study. Journal of Medical Internet Research 2024;26:e46176 View
- Zhang J, Wang X, Zhou Y. Comparative analysis of semaglutide induced adverse reactions: Insights from FAERS database and social media reviews with a focus on oral vs subcutaneous administration. Frontiers in Pharmacology 2024;15 View
- Zhu J, Zhang X, Jin R, Jiang H, Kenne D. Probing Public Perceptions of Antidepressants on Social Media: A Mixed Methods Approach (Preprint). JMIR Formative Research 2024 View
Books/Policy Documents
- Dasgupta N, Winokur C, Pierce C. Communicating about Risks and Safe Use of Medicines. View
- Wang W, Cheung B, Leung Z, Chan K, See-To E. Multigenerational Online Behavior and Media Use. View
- Alimova I, Tutubalina E. Analysis of Images, Social Networks and Texts. View
- Alasmari A, Zhou L. Social Computing and Social Media. Communication and Social Communities. View
- Hasan S, Farri O. Data Science for Healthcare. View
- Motulsky A, Nikiema J, Bosson-Rieutort D. Multiple Perspectives on Artificial Intelligence in Healthcare. View
- Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. View