Authors’ Reply to Jouanjus and Colleagues’ Comment on “Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter”-Reference-Cited by-同舟云学术

Authors’ Reply to Jouanjus and Colleagues’ Comment on “Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter”

Published:2017-01-10 Issue:2 Volume:40 Page:187-188
ISSN:0114-5916
Container-title:Drug Safety
language:en
Short-container-title:Drug Saf

Author:

Sarker Abeed,Malone Dan,Gonzalez Graciela

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Pharmacology,Toxicology

Link

http://link.springer.com/content/pdf/10.1007/s40264-016-0498-6.pdf

Reference7 articles.

1. Jouanjus E, Mallaret M, Micallef J, et al. Comment on ‘Social media mining for toxicovigilance: monitoring prescription medication abuse from Twitter. Drug Saf. 2017. doi: 10.1007/s40264-016-0497-7

2. Sarker A, O’Connor K, Ginn R, et al. Social media mining for toxicovigilance: automatic monitoring of prescription medication abuse from Twitter. Drug Saf. 2016;39(3):231–40.

3. Jouanjus E, Pourcel L, Saivin S, et al. Use of multiple sources and capture-recapture method to estimate the frequency of hospitalizations related to drug abuse. Pharmacoepidemiol Drug Saf. 2012;21(7):733–41.

4. Manasco AT, Griggs C, Leeds R, et al. Characteristics of state prescription drug monitoring programs: a state-by-state survey. Pharmacoepidemiol Drug Saf. 2016;25(7):847–51.

5. Sarker A, Ginn R, Nikfarjam A, et al. Utilizing social media data for pharmacovigilance: a review. J Biomed Inform. 2015;54:202–12.

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