Literature DB >> 16779256

GenIE: an intelligent system for writing genetic counseling patient letters.

Nancy Green1.   

Abstract

We are developing GenIE, a prototype intelligent system to create first drafts of genetic counseling patient letters. GenIE will apply natural language generation techniques to construct the first draft of a letter for subsequent review and editing, if needed, by the genetic counselor. For purposes of knowledge acquisition, we have been analyzing a corpus of patient letters. Based on the corpus analysis we are developing a knowledge base and text generation strategies.

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Mesh:

Year:  2005        PMID: 16779256      PMCID: PMC1560849     

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


  4 in total

1.  Text generation in clinical medicine--a review.

Authors:  D Hüske-Kraus
Journal:  Methods Inf Med       Date:  2003       Impact factor: 2.176

2.  A Bayesian network coding scheme for annotating biomedical information presented to genetic counseling clients.

Authors:  Nancy Green
Journal:  J Biomed Inform       Date:  2005-04       Impact factor: 6.317

Review 3.  Natural language generation in health care.

Authors:  A J Cawsey; B L Webber; R B Jones
Journal:  J Am Med Inform Assoc       Date:  1997 Nov-Dec       Impact factor: 4.497

4.  Guidelines for Writing Letters to Patients.

Authors:  Diane L Baker; Timothy Eash; Jane L Schuette; Wendy R Uhlmann
Journal:  J Genet Couns       Date:  2002-10       Impact factor: 2.537

  4 in total
  1 in total

1.  Developing patient-friendly genetic and genomic test reports: formats to promote patient engagement and understanding.

Authors:  Susanne B Haga; Rachel Mills; Kathryn I Pollak; Catherine Rehder; Adam H Buchanan; Isaac M Lipkus; Jennifer H Crow; Michael Datto
Journal:  Genome Med       Date:  2014-07-31       Impact factor: 11.117

  1 in total

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