Authenticity and credibility aware detection of adverse drug events from social media-Reference-Cited by-同舟云学术

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Authenticity and credibility aware detection of adverse drug events from social media

Published:2018-12 Issue: Volume:120 Page:157-171
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Hoang Tao^ORCID,Liu Jixue,Pratt Nicole,Zheng Vincent W.,Chang Kevin C.,Roughead Elizabeth,Li Jiuyong

Funder

ARC

NHMRC

Publisher

Elsevier BV

Subject

Health Informatics

Reference56 articles.

1. Novel data-mining methodologies for adverse drug event discovery and analysis;Harpaz;Clin. Pharmacol. Ther.,2012

2. Computerized detection of adverse drug reactions in the medical intensive care unit;Kane-Gill;Int. J. Med. Inform.,2011

3. Big data and adverse drug reaction detection;Harpaz;Clin. Pharmacol. Ther.,2016

4. Text and data mining techniques in adverse drug reaction detection;Karimi;ACM Comput. Surv. (CSUR),2015

5. Under-reporting of adverse drug reactions;Hazell;Drug Saf.,2006

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1. The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review;JMIR Public Health and Surveillance;2024-09-06

2. The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review (Preprint);2024-04-04

3. False Complaint Report Detection Based on Contrastive Learning Model;2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR);2023-12-08

4. Discursive Construction of Message Credibility for Chinese State-Owned Enterprises on Twitter;IEEE Transactions on Professional Communication;2023-09

5. Credibility analysis of water environment complaint report based on deep cross domain network;Applied Intelligence;2021-10-20

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