Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines

Journal of Medical Internet Research
Karen O'ConnorGraciela Gonzalez

Abstract

Social media data are being increasingly used for population-level health research because it provides near real-time access to large volumes of consumer-generated data. Recently, a number of studies have explored the possibility of using social media data, such as from Twitter, for monitoring prescription medication abuse. However, there is a paucity of annotated data or guidelines for data characterization that discuss how information related to abuse-prone medications is presented on Twitter. This study discusses the creation of an annotated corpus suitable for training supervised classification algorithms for the automatic classification of medication abuse-related chatter. The annotation strategies used for improving interannotator agreement (IAA), a detailed annotation guideline, and machine learning experiments that illustrate the utility of the annotated corpus are also described. We employed an iterative annotation strategy, with interannotator discussions held and updates made to the annotation guidelines at each iteration to improve IAA for the manual annotation task. Using the grounded theory approach, we first characterized tweets into fine-grained categories and then grouped them into 4 broad classes-abuse or misu...Continue Reading

References

Jul 11, 2012·Pharmacoepidemiology and Drug Safety·Emily C McNaughtonStephen F Butler
Jul 25, 2012·Journal of Mental Health·Zoe DaveyUNKNOWN Psychonaut Web Mapping Group
Sep 10, 2013·Journal of Medical Internet Research·Carl Lee HansonChristophe Giraud-Carrier
Aug 2, 2014·PloS One·Michael J Paul, Mark Dredze
Dec 3, 2014·Journal of Biomedical Informatics·Abeed Sarker, Graciela Gonzalez
Feb 3, 2015·PLoS Currents·Michael J PaulDavid Broniatowski
Feb 28, 2015·Journal of Biomedical Informatics·Abeed SarkerGraciela Gonzalez
Jun 24, 2015·BMC Medical Informatics and Decision Making·Isabel Segura-BedmarJulián Moreno-Schneider
Sep 15, 2015·Journal of Addictive Diseases·Lukas ShutlerJeanmarie Perrone
Jan 11, 2016·Drug Safety : an International Journal of Medical Toxicology and Drug Experience·Abeed SarkerGraciela Gonzalez
Oct 26, 2016·JMIR Public Health and Surveillance·Raminta DaniulaityteAmit Sheth
Feb 6, 2017·JMIR Public Health and Surveillance·Laurie S AndersonNabarun Dasgupta
Oct 20, 2017·JAMA : the Journal of the American Medical Association·Andrew Kolodny, Thomas R Frieden
Mar 22, 2018·JMIR Public Health and Surveillance·Roy CherianUrmimala Sarkar
Aug 25, 2018·Frontiers in Pharmacology·Elise BigeardFrantz Thiessard
Oct 3, 2018·Journal of the American Medical Informatics Association : JAMIA·Abeed SarkerGraciela Gonzalez-Hernandez
Oct 17, 2018·Proceedings of the National Academy of Sciences of the United States of America·Johannes C EichstaedtH Andrew Schwartz
Nov 18, 2018·Journal of Biomedical Informatics·Abeed Sarker, Graciela Gonzalez-Hernandez
Jun 15, 2019·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yu-Feng LiZhi-Hua Zhou

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Citations

Jan 28, 2021·BMC Medical Informatics and Decision Making·Mohammed Ali Al-GaradiAbeed Sarker
Dec 1, 2020·JMIR Public Health and Surveillance·Tavleen SinghSahiti Myneni
Feb 6, 2021·International Journal of Radiation Oncology, Biology, Physics·Danielle S BittermanGuergana K Savova

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