Literature DB >> 9929287

Bayesian modeling for linking causally related observations in chest X-ray reports.

W W Chapman1, P J Haug.   

Abstract

Our natural language understanding system outputs a list of diseases, findings, and appliances found in a chest x-ray report. The system described in this paper links those diseases and findings that are causally related. Using Bayesian networks to model the conceptual and diagnostic information found in a chest x-ray we are able to infer more specific information about the findings that are linked to diseases.

Mesh:

Year:  1998        PMID: 9929287      PMCID: PMC2232051     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  7 in total

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Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

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Review 3.  Natural language processing and the representation of clinical data.

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Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

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Authors:  C Friedman; P O Alderson; J H Austin; J J Cimino; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

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Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

6.  Unlocking clinical data from narrative reports: a study of natural language processing.

Authors:  G Hripcsak; C Friedman; P O Alderson; W DuMouchel; S B Johnson; P D Clayton
Journal:  Ann Intern Med       Date:  1995-05-01       Impact factor: 25.391

7.  Estimating diagnostic test accuracy using a "fuzzy gold standard".

Authors:  C E Phelps; A Hutson
Journal:  Med Decis Making       Date:  1995 Jan-Mar       Impact factor: 2.583

  7 in total
  5 in total

1.  Classification algorithms applied to narrative reports.

Authors:  A Wilcox; G Hripcsak
Journal:  Proc AMIA Symp       Date:  1999

2.  Reference standards, judges, and comparison subjects: roles for experts in evaluating system performance.

Authors:  George Hripcsak; Adam Wilcox
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

3.  The effect of sample size and disease prevalence on supervised machine learning of narrative data.

Authors:  Lawrence K McKnight; Adam Wilcox; George Hripcsak
Journal:  Proc AMIA Symp       Date:  2002

Review 4.  Modeling paradigms for medical diagnostic decision support: a survey and future directions.

Authors:  Kavishwar B Wagholikar; Vijayraghavan Sundararajan; Ashok W Deshpande
Journal:  J Med Syst       Date:  2011-10-01       Impact factor: 4.460

5.  Using the electronic medical record to identify community-acquired pneumonia: toward a replicable automated strategy.

Authors:  Sylvain DeLisle; Bernard Kim; Janaki Deepak; Tariq Siddiqui; Adi Gundlapalli; Matthew Samore; Leonard D'Avolio
Journal:  PLoS One       Date:  2013-08-13       Impact factor: 3.240

  5 in total

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