Cadec: A corpus of adverse drug event annotations

Keywords

MedDRA, SNOMED CT, Annotation, Punctuation, Computer science

References

• brat: a Web-based Tool for NLP-Assisted Text AnnotationPontus Stenetorp, Sampo Pyysalo, Goran Topić — 2012
• An Empirical Evaluation of Resources for the Identification of Diseases and Adverse Effects in Biomedical LiteratureHarsha Gurulingappa, Roman Klinger, Martin Hofmann‐Apitius — 2010
• Predicting adverse drug events from personal health messages.Brant Chee, Richard B. Berlin, Bruce R. Schatz — 2011
• Building Gold Standard Corpora for Medical Natural Language Processing TasksLouise Deléger, Qi Li, Todd Lingren — 2012
• Text and Data Mining Techniques in Adverse Drug Reaction DetectionSarvnaz Karimi, Chen Wang, Alejandro Metke‐Jimenez — 2015
• Postmarketing Safety SurveillanceUpasana Prabhakar, Brian Edwards — 2010
• Postmarketing Safety SurveillancePreciosa M. Coloma, Gianluca Trifirò, Vaishali Patadia — 2013
• The costs of adverse drug events in community hospitals.Balthasar L. Hug, Carol Keohane, Diane L. Seger — 2012
• Drug safety. Gaps in the safety net.Jennifer Couzin — 2005
• SNOMED CT and its Place in Health Information Management PracticeDonna Truran, Patricia Saad, Ming Zhang — 2010
• PubTator: a web-based text mining tool for assisting biocurationChih-Hsuan Wei, Hung Yu Kao, Zhiyong Lu — 2013
• Corpus Design for Biomedical Natural Language ProcessingKevin Bretonnel Cohen, Philip V. Ogren, Lynne M. Fox — 2005
• Identifying potential adverse effects using the web: a new approach to medical hypothesis generationAdrian Benton, Lyle Ungar, Shawndra Hill — 2011
• Annotation Issues in Pharmacological TextsMaría Herrero-Zazo, Isabel Segura-Bédmar, Paloma Martı́nez — 2013
• Corpus Annotation SchemesGeoffrey Leech — 1993
• The EU-ADR corpus: Annotated drugs, diseases, targets, and their relationshipsErik M. van Mulligen, Annie Fourrier‐Réglat, David Gurwitz — 2012
• Evaluation of text-processing algorithms for adverse drug event extraction from social mediaAlejandro Metke‐Jimenez, Sarvnaz Karimi, Cécile Paris — 2014
• Adverse event detection in drug development: recommendations and obligations beyond phase 3.Jesse A. Berlin, Susan Glasser, Susan S. Ellenberg — 2008
• Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social NetworksRobert Leaman, L Wojtulewicz, Ryan Sullivan — 2010
• Medication safety in acute care in Australia: where are we now? Part 1: a review of the extent and causes of medication problems 2002–2008Elizabeth E. Roughead, Susan J. Semple — 2009

Cited by

• Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of AlgorithmsAlejandro Metke‐Jimenez, Sarvnaz Karimi — 2015
• CADEminer: A System for Mining Consumer Reports on Adverse Drug Side EffectsSarvnaz Karimi, Alejandro Metke‐Jimenez, Anthony Nguyen — 2015
• Systematic review on the prevalence, frequency and comparative value of adverse events data in social media.Su Golder, Gill Norman, Yoon K. Loke — 2015
• Cyberpharmacovigilance: What is the usefulness of the social networks in pharmacovigilance?Haleh Bagheri, Isabelle Lacroix, Emmanuelle Bondon‐Guitton — 2016
• An ensemble method for extracting adverse drug events from social mediaJing Liu, Songzheng Zhao, Xiaodi Zhang — 2016
• Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility StudyMajid Rastegar-Mojarad, Hongfang Liu, Priya Nambisan — 2016
• Normalising Medical Concepts in Social Media Texts by Learning Semantic RepresentationNut Limsopatham, Nigel Collier — 2016
• Named Entity Recognition for Novel Types by Transfer LearningLizhen Qu, Gabriela Ferraro, Liyuan Zhou — 2016
• Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety AlertsCarrie E. Pierce, Khaled Bouri, Carol Pamer — 2017
• Concept Identification and Normalisation for Adverse Drug Event Discovery in Medical ForumsAlejandro Metke‐Jimenez, Sarvnaz Karimi — 2016
• Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural NetworksKathy Lee, Ashequl Qadir, Sadid A. Hasan — 2017
• Information Retrieval and Text Mining Technologies for Chemistry.Martin Krallinger, Obdulia Rabal, Anália Lourenço — 2017
• Leveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric HospitalHuaxiu Tang, Imre Solti, Eric S. Kirkendall — 2017
• Analysis of the Formality of Text and its Impact on Pharmacovigilance SystemsNestor Alvaro, ネストル グラディヤス アルバロ, Á. Gradillas — 2016
• Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent ModelsGabriel Stanovsky, Daniel Gruhl, Pablo N. Mendes — 2017
• Annotation of pain and anesthesia events for surgery-related processes and outcomes extractionWen‐wai Yim, Dario Tedesco, Catherine Curtin — 2017
• Mapping Free Text into MedDRA by Natural Language Processing: A Modular Approach in Designing and Evaluating Software ExtensionsMargherita Zorzi, Carlo Combi, Gabriele Pozzani — 2017
• Capturing the Patient’s Perspective: a Review of Advances in Natural Language Processing of Health-Related TextGraciela Gonzalez‐Hernandez, Abeed Sarker, Karen O’Connor — 2017
• Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User ReviewsElena Tutubalina, Sergey Nikolenko — 2017
• Medical Concept Normalization for Online User-Generated TextsKathy Lee, Sadid A. Hasan, Oladimeji Farri — 2017

Related papers

• Using SNOMED CT in combination with MedDRA for reporting signal detection and adverse drug reactions reportingOlivier Bodenreider — 2009
• Coding in Pharmacovigilance Using MedDRA: A ReviewKhushal M. Dalvi, Prof. Poonam S. Kasar, Parikshit P. Pise — 2022
• Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case studyPrakash M. Nadkarni, Jonathan Darer — 2010
• A case report: using SNOMED CT for grouping Adverse Drug Reactions TermsIulian Alecu, Cédric Bousquet, Marie‐Christine Jaulent — 2008
• Mapping of the WHO-ART terminology on Snomed CT to improve grouping of related adverse drug reactionsIulian Alecu, Cédric Bousquet, Fleur Mougin — 2006
• Evaluating standard terminologies for encoding allergy informationFoster Goss, Li Zhou, Joseph M. Plasek — 2013
• Drug induced hepatotoxicity: data from the Serbian pharmacovigilance databaseMarija Petronijević, Katarina Ilić, Ayako Suzuki — 2011
• Building an ontology of adverse drug reactions for automated signal generation in pharmacovigilanceCorneliu Hénégar, Cédric Bousquet, Agnés Lillo‐Le Louët — 2006
• Ontological and Non-Ontological Resources for Associating Medical Dictionary for Regulatory Activities Terms to SNOMED Clinical Terms With Semantic PropertiesCédric Bousquet, Julien Souvignet, Éric Sadou — 2019