Literature DB >> 10384538

Automatic prediction of trauma registry procedure codes from emergency room dictations.

W R Hersh1, T K Leen, P S Rehfuss, S Malveau.   

Abstract

Current natural language processing techniques for recognition of concepts in the electronic medical record have been insufficient to allow their broad use for coding information automatically. We have undertaken a preliminary investigation into the use of machine learning methods to recognize procedure codes from emergency room dictations for a trauma registry. Our preliminary results indicate moderate success, and we believe future enhancements with additional learning techniques and selected natural language processing approaches will be fruitful.

Entities:  

Mesh:

Year:  1998        PMID: 10384538

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  7 in total

1.  Ad hoc classification of radiology reports.

Authors:  D B Aronow; F Fangfang; W B Croft
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

2.  UMLS concept indexing for production databases: a feasibility study.

Authors:  P Nadkarni; R Chen; C Brandt
Journal:  J Am Med Inform Assoc       Date:  2001 Jan-Feb       Impact factor: 4.497

3.  Medical text representations for inductive learning.

Authors:  A Wilcox; G Hripcsak
Journal:  Proc AMIA Symp       Date:  2000

4.  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

5.  The role of domain knowledge in automating medical text report classification.

Authors:  Adam B Wilcox; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2003-03-28       Impact factor: 4.497

Review 6.  Detecting adverse events using information technology.

Authors:  David W Bates; R Scott Evans; Harvey Murff; Peter D Stetson; Lisa Pizziferri; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

7.  Need of informatics in designing interoperable clinical registries.

Authors:  Majid Rastegar-Mojarad; Sunghwan Sohn; Liwei Wang; Feichen Shen; Troy C Bleeker; William A Cliby; Hongfang Liu
Journal:  Int J Med Inform       Date:  2017-10-10       Impact factor: 4.046

  7 in total

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