Comment on: "Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter"

Emilie Jouanjus (), Michel Mallaret, Joëlle Micallef, Camille Ponté, Anne Roussin and Maryse Lapeyre-Mestre
Additional contact information
Emilie Jouanjus: CHU Toulouse
Michel Mallaret: CHU Grenoble
Joëlle Micallef: CHU Timone
Camille Ponté: CHU Toulouse
Anne Roussin: CHU Toulouse
Maryse Lapeyre-Mestre: CHU Toulouse

Drug Safety, 2017, vol. 40, issue 2, No 10, 183-185

Keywords: Psychoactive Substance; Abuse Potential; Automatic Monitoring; Social Media Platform; Spontaneous Reporting System (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s40264-016-0497-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:drugsa:v:40:y:2017:i:2:d:10.1007_s40264-016-0497-7

Ordering information: This journal article can be ordered from
http://www.springer.com/adis/journal/40264

DOI: 10.1007/s40264-016-0497-7

Access Statistics for this article

Drug Safety is currently edited by Nitin Joshi

More articles in Drug Safety from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().