Social Media for Opioid Addiction Epidemiology-Reference-Cited by-同舟云学术

Social Media for Opioid Addiction Epidemiology

Published:2017-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
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Author:

Fan Yujie¹,Zhang Yiming¹,Ye Yanfang¹,li Xin¹,Zheng Wanhong¹

Affiliation:

1. West Virginia University, Morgantown, WV, USA

Funder

NT-NS grant

U.S. National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132847.3132857

Reference32 articles.

1. Pharmacist use of social media

2. Jiang Bian Umit Topaloglu and Fan Yu. 2012. Towards large-scale twitter mining for drug-related adverse events SHB. ACM 25--32. 10.1145/2389707.2389713 Jiang Bian Umit Topaloglu and Fan Yu. 2012. Towards large-scale twitter mining for drug-related adverse events SHB. ACM 25--32. 10.1145/2389707.2389713

3. PREDOSE: A semantic web platform for drug abuse epidemiology using social media

4. CDC. 2015. Heroin Overdose Data. https://www.cdc.gov/drugoverdose/data/heroin.html CDC. 2015. Heroin Overdose Data. https://www.cdc.gov/drugoverdose/data/heroin.html

5. HeteClass: A Meta-path based framework for transductive classification of objects in heterogeneous information networks

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