Literature DB >> 31841150

Advancing the state of the art in automatic extraction of adverse drug events from narratives.

Özlem Uzuner1,2,3, Amber Stubbs4, Leslie Lenert5.   

Abstract

Year:  2020        PMID： 31841150      PMCID： PMC6913224          DOI： 10.1093/jamia/ocz206

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN： 1067-5027            Impact factor:   4.497


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  8 in total

1.  The Unified Medical Language System (UMLS): integrating biomedical terminology.

Authors:  Olivier Bodenreider
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings.

Authors:  Hong-Jie Dai; Chu-Hsien Su; Chi-Shin Wu
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

3.  A study of deep learning approaches for medication and adverse drug event extraction from clinical text.

Authors:  Qiang Wei; Zongcheng Ji; Zhiheng Li; Jingcheng Du; Jingqi Wang; Jun Xu; Yang Xiang; Firat Tiryaki; Stephen Wu; Yaoyun Zhang; Cui Tao; Hua Xu
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

4.  2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

Authors:  Sam Henry; Kevin Buchan; Michele Filannino; Amber Stubbs; Ozlem Uzuner
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

5.  Adverse drug events and medication errors: detection and classification methods.

Authors:  T Morimoto; T K Gandhi; A C Seger; T C Hsieh; D W Bates
Journal:  Qual Saf Health Care       Date:  2004-08

6.  Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.

Authors:  Xi Yang; Jiang Bian; Ruogu Fang; Ragnhildur I Bjarnadottir; William R Hogan; Yonghui Wu
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

7.  An ensemble of neural models for nested adverse drug events and medication extraction with subwords.

Authors:  Meizhi Ju; Nhung T H Nguyen; Makoto Miwa; Sophia Ananiadou
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

8.  A side effect resource to capture phenotypic effects of drugs.

Authors:  Michael Kuhn; Monica Campillos; Ivica Letunic; Lars Juhl Jensen; Peer Bork
Journal:  Mol Syst Biol       Date:  2010-01-19       Impact factor: 11.429
  8 in total
  4 in total

1.  Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.

Authors:  Jingcheng Du; Yang Xiang; Madhuri Sankaranarayanapillai; Meng Zhang; Jingqi Wang; Yuqi Si; Huy Anh Pham; Hua Xu; Yong Chen; Cui Tao
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

2.  Clinical concept extraction using transformers.

Authors:  Xi Yang; Jiang Bian; William R Hogan; Yonghui Wu
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

3.  A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study.

Authors:  Jimyung Park; Seng Chan You; Eugene Jeong; Chunhua Weng; Dongsu Park; Jin Roh; Dong Yun Lee; Jae Youn Cheong; Jin Wook Choi; Mira Kang; Rae Woong Park
Journal:  JMIR Med Inform       Date:  2021-03-30

4.  Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across Hospitals.

Authors:  Jie Yang; Liqin Wang; Neelam A Phadke; Paige G Wickner; Christian M Mancini; Kimberly G Blumenthal; Li Zhou
Journal:  JAMA Netw Open       Date:  2020-11-02
  4 in total

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