Literature DB >> 28786036

Pharmacovigilance Using Textual Data: The Need to Go Deeper and Wider into the Con(text).

Tavpritesh Sethi1,2, Nigam H Shah3.   

Abstract

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Mesh：

Year:  2017        PMID： 28786036     DOI： 10.1007/s40264-017-0585-3

Source DB:  PubMed          Journal:  Drug Saf        ISSN： 0114-5916            Impact factor:   5.606


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  9 in total

1.  A simple algorithm for identifying negated findings and diseases in discharge summaries.

Authors:  W W Chapman; W Bridewell; P Hanbury; G F Cooper; B G Buchanan
Journal:  J Biomed Inform       Date:  2001-10       Impact factor: 6.317

2.  Text mining for adverse drug events: the promise, challenges, and state of the art.

Authors:  Rave Harpaz; Alison Callahan; Suzanne Tamang; Yen Low; David Odgers; Sam Finlayson; Kenneth Jung; Paea LePendu; Nigam H Shah
Journal:  Drug Saf       Date:  2014-10       Impact factor: 5.606

Review 3.  Utilizing social media data for pharmacovigilance: A review.

Authors:  Abeed Sarker; Rachel Ginn; Azadeh Nikfarjam; Karen O'Connor; Karen Smith; Swetha Jayaraman; Tejaswi Upadhaya; Graciela Gonzalez
Journal:  J Biomed Inform       Date:  2015-02-23       Impact factor: 6.317

Review 4.  Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.

Authors:  Yuan Luo; William K Thompson; Timothy M Herr; Zexian Zeng; Mark A Berendsen; Siddhartha R Jonnalagadda; Matthew B Carson; Justin Starren
Journal:  Drug Saf       Date:  2017-11       Impact factor: 5.606

5.  Web-scale pharmacovigilance: listening to signals from the crowd.

Authors:  Ryen W White; Nicholas P Tatonetti; Nigam H Shah; Russ B Altman; Eric Horvitz
Journal:  J Am Med Inform Assoc       Date:  2013-03-06       Impact factor: 4.497

6.  ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports.

Authors:  Henk Harkema; John N Dowling; Tyler Thornblade; Wendy W Chapman
Journal:  J Biomed Inform       Date:  2009-05-10       Impact factor: 6.317

7.  Pharmacovigilance using clinical notes.

Authors:  P LePendu; S V Iyer; A Bauer-Mehren; R Harpaz; J M Mortensen; T Podchiyska; T A Ferris; N H Shah
Journal:  Clin Pharmacol Ther       Date:  2013-03-04       Impact factor: 6.875

8.  Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.

Authors:  David S Carrell; Robert E Schoen; Daniel A Leffler; Michele Morris; Sherri Rose; Andrew Baer; Seth D Crockett; Rebecca A Gourevitch; Katie M Dean; Ateev Mehrotra
Journal:  J Am Med Inform Assoc       Date:  2017-09-01       Impact factor: 4.497

Review 9.  How to promote adverse drug reaction reports using information systems - a systematic review and meta-analysis.

Authors:  Inês Ribeiro-Vaz; Ana-Marta Silva; Cristina Costa Santos; Ricardo Cruz-Correia
Journal:  BMC Med Inform Decis Mak       Date:  2016-03-01       Impact factor: 2.796
  9 in total

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