Literature DB >> 29042245

A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry.

Özlem Uzuner1, Amber Stubbs2, Michele Filannino3.   

Abstract

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Mesh：

Year:  2017        PMID： 29042245      PMCID： PMC5705440          DOI： 10.1016/j.jbi.2017.10.005

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN： 1532-0464            Impact factor:   6.317


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  27 in total

Review 1.  Evaluating the state of the art in coreference resolution for electronic medical records.

Authors:  Ozlem Uzuner; Andreea Bodnari; Shuying Shen; Tyler Forbush; John Pestian; Brett R South
Journal:  J Am Med Inform Assoc       Date:  2012-02-24       Impact factor: 4.497

2.  Extracting medication information from clinical text.

Authors:  Ozlem Uzuner; Imre Solti; Eithon Cadag
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

3.  Chronology of your health events: approaches to extracting temporal relations from medical narratives.

Authors:  Özlem Uzuner; Amber Stubbs; Weiyi Sun
Journal:  J Biomed Inform       Date:  2013-12       Impact factor: 6.317

4.  Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.

Authors:  Özlem Uzuner; Amber Stubbs
Journal:  J Biomed Inform       Date:  2015-10-24       Impact factor: 6.317

5.  Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge.

Authors:  Yaoyun Zhang; Olivia Zhang; Yonghui Wu; Hee-Jin Lee; Jun Xu; Hua Xu; Kirk Roberts
Journal:  J Biomed Inform       Date:  2017-06-15       Impact factor: 6.317

6.  A hybrid approach to automatic de-identification of psychiatric notes.

Authors:  Hee-Jin Lee; Yonghui Wu; Yaoyun Zhang; Jun Xu; Hua Xu; Kirk Roberts
Journal:  J Biomed Inform       Date:  2017-06-07       Impact factor: 6.317

7.  Automatic recognition of symptom severity from psychiatric evaluation records.

Authors:  Travis R Goodwin; Ramon Maldonado; Sanda M Harabagiu
Journal:  J Biomed Inform       Date:  2017-05-30       Impact factor: 6.317

Review 8.  Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1.

Authors:  Amber Stubbs; Christopher Kotfila; Özlem Uzuner
Journal:  J Biomed Inform       Date:  2015-07-28       Impact factor: 6.317

9.  Identifying patient smoking status from medical discharge records.

Authors:  Ozlem Uzuner; Ira Goldstein; Yuan Luo; Isaac Kohane
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

Review 10.  Evaluating temporal relations in clinical text: 2012 i2b2 Challenge.

Authors:  Weiyi Sun; Anna Rumshisky; Ozlem Uzuner
Journal:  J Am Med Inform Assoc       Date:  2013-04-05       Impact factor: 4.497
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  3 in total

1.  Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study.

Authors:  Thomas H McCoy; Larry Han; Amelia M Pellegrini; Rudolph E Tanzi; Sabina Berretta; Roy H Perlis
Journal:  Alzheimers Dement       Date:  2020-01-16       Impact factor: 21.566

2.  Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.

Authors:  Theresa A Koleck; Caitlin Dreisbach; Philip E Bourne; Suzanne Bakken
Journal:  J Am Med Inform Assoc       Date:  2019-04-01       Impact factor: 4.497

Review 3.  Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.

Authors:  Michele Filannino; Özlem Uzuner
Journal:  Yearb Med Inform       Date:  2018-08-29
  3 in total

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