Literature DB >> 17238668

Building and evaluating annotated corpora for medical NLP systems.

Philip V Ogren1, Guergana Savova, James D Buntrock, Christopher G Chute.   

Abstract

We report efforts from a pilot annotation project in which we annotated sixty clinical notes with disorder mentions. Four retrieval experts annotated the same clinical notes so that four-way inter-annotator agreement could be calculated. We find the inter-annotator agreement results encouraging to scale up the project using the same guidelines and annotation schema.

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Mesh:

Year:  2006        PMID: 17238668      PMCID: PMC1839264     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  1 in total

1.  Exploring semantic groups through visual approaches.

Authors:  Olivier Bodenreider; Alexa T McCray
Journal:  J Biomed Inform       Date:  2003-12       Impact factor: 6.317

  1 in total
  12 in total

1.  Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure.

Authors:  Jennifer H Garvin; Scott L DuVall; Brett R South; Bruce E Bray; Daniel Bolton; Julia Heavirland; Steve Pickard; Paul Heidenreich; Shuying Shen; Charlene Weir; Matthew Samore; Mary K Goldstein
Journal:  J Am Med Inform Assoc       Date:  2012-03-21       Impact factor: 4.497

2.  Classifying clinical notes with pain assessment using machine learning.

Authors:  Samah Jamal Fodeh; Dezon Finch; Lina Bouayad; Stephen L Luther; Han Ling; Robert D Kerns; Cynthia Brandt
Journal:  Med Biol Eng Comput       Date:  2017-12-26       Impact factor: 2.602

3.  Automatically detecting medications and the reason for their prescription in clinical narrative text documents.

Authors:  Stéphane M Meystre; Julien Thibault; Shuying Shen; John F Hurdle; Brett R South
Journal:  Stud Health Technol Inform       Date:  2010

4.  Automating the Capture of Structured Pathology Data for Prostate Cancer Clinical Care and Research.

Authors:  Anobel Y Odisho; Mark Bridge; Mitchell Webb; Niloufar Ameli; Renu S Eapen; Frank Stauf; Janet E Cowan; Samuel L Washington; Annika Herlemann; Peter R Carroll; Matthew R Cooperberg
Journal:  JCO Clin Cancer Inform       Date:  2019-07

5.  The CLEF corpus: semantic annotation of clinical text.

Authors:  Angus Roberts; Robert Gaizauskas; Mark Hepple; Neil Davis; George Demetriou; Yikun Guo; Jay Kola; Ian Roberts; Andrea Setzer; Archana Tapuria; Bill Wheeldin
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

6.  Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.

Authors:  Aleksandar Kovacevic; Azad Dehghan; Michele Filannino; John A Keane; Goran Nenadic
Journal:  J Am Med Inform Assoc       Date:  2013-04-20       Impact factor: 4.497

7.  Developing a manually annotated clinical document corpus to identify phenotypic information for inflammatory bowel disease.

Authors:  Brett R South; Shuying Shen; Makoto Jones; Jennifer Garvin; Matthew H Samore; Wendy W Chapman; Adi V Gundlapalli
Journal:  Summit Transl Bioinform       Date:  2009-03-01

8.  Analysis of False Positive Errors of an Acute Respiratory Infection Text Classifier due to Contextual Features.

Authors:  Brett R South; Shuying Shen; Wendy W Chapman; Sylvain Delisle; Matthew H Samore; Adi V Gundlapalli
Journal:  Summit Transl Bioinform       Date:  2010-03-01

9.  Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text.

Authors:  Norris H Heintzelman; Robert J Taylor; Lone Simonsen; Roger Lustig; Doug Anderko; Jennifer A Haythornthwaite; Lois C Childs; George Steven Bova
Journal:  J Am Med Inform Assoc       Date:  2012-11-09       Impact factor: 4.497

10.  Developing a manually annotated clinical document corpus to identify phenotypic information for inflammatory bowel disease.

Authors:  Brett R South; Shuying Shen; Makoto Jones; Jennifer Garvin; Matthew H Samore; Wendy W Chapman; Adi V Gundlapalli
Journal:  BMC Bioinformatics       Date:  2009-09-17       Impact factor: 3.169

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