An ensemble method for extracting adverse drug events from social media-Reference-Cited by-同舟云学术

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An ensemble method for extracting adverse drug events from social media

Published:2016-06 Issue: Volume:70 Page:62-76
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Liu Jing,Zhao Songzheng,Zhang Xiaodi

Funder

National Natural Science Foundation of China

Specialized Research Fund for the Doctoral Program of Higher Education of China

Shaanxi Province Soft Science Research Project

Humanity and Social Science Youth Foundation of the Ministry of Education of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference75 articles.

1. Incidence of adverse drug events and potential adverse drug events: implications for prevention;Bates;J Am Med Inf Assoc,1995

2. Text and data mining techniques in adverse drug reaction detection;Karimi;ACM Comput Surv,2015

3. WH Organization. International drug monitoring: the role of national centres report of a WHO meeting. 1972.

4. A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance;Ji;IEEE Trans Inf Technol Biomed,2011

5. Postmarketing drug safety surveillance using publicly available health-consumer-contributed content in social media;Yang;ACM Trans Manage Inf Syst,2014

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