This paper is in the following e-collection/theme issue:

Pharmacovigilance (129) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Infodemiology and Infoveillance (1278) Natural Language Processing (650) Surveillance Systems (430) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Machine Learning (1401)

Published on in Vol 4, No 2 (2018): Apr-Jun

Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach

Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach

Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach

Authors of this article:

Danushka Bollegala1 Author Orcid Image ;   Simon Maskell1 Author Orcid Image ;   Richard Sloane1 Author Orcid Image ;   Joanna Hajne1 Author Orcid Image ;   Munir Pirmohamed2 Author Orcid Image
Article Authors Cited by (23) Tweetations (11) Metrics

Danushka Bollegala   1 , PhD ;   Simon Maskell   1 * , PhD ;   Richard Sloane   1 , PhD ;   Joanna Hajne   1 , PhD ;   Munir Pirmohamed   2 * , PhD

1 Department of Computer Science, University of Liverpool, Liverpool, United Kingdom

2 Department of Translational Medicine, University of Liverpool, Liverpool, United Kingdom

*these authors contributed equally

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