Literature DB >> 16779175

Extending a medical language processing system to the functional status domain.

Michael Bales1, Rita Kukafka, Ann Burkhardt, Carol Friedman.   

Abstract

The World Health Organization's International Classification of Functioning, Disability, and Health (ICF) provides a common framework for describing functional status information (FSI) in health records. Given the expense of manual coding, we are investigating the use of natural language processing (NLP) for automated FSI coding. We used an existing NLP system that was originally designed to encode clinical information. The system's lexicon and coding table were modified and preprocessing and postprocessing programs were created, allowing for automated assignment of selected ICF codes.

Entities:  

Mesh:

Year:  2005        PMID: 16779175      PMCID: PMC1560823     

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


  2 in total

1.  A general natural-language text processor for clinical radiology.

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

2.  WHO's ICF and functional status information in health records.

Authors:  T Bedirhan Ustün; Somnath Chatterji; Nenad Kostansjek; Jerome Bickenbach
Journal:  Health Care Financ Rev       Date:  2003
  2 in total
  2 in total

1.  The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records.

Authors:  Roxanne Maritz; Dominik Aronsky; Birgit Prodinger
Journal:  Appl Clin Inform       Date:  2017-12-20       Impact factor: 2.342

2.  Representation of Functional Status Concepts from Clinical Documents and Social Media Sources by Standard Terminologies.

Authors:  Jinqiu Kuang; April F Mohanty; V H Rashmi; Charlene R Weir; Bruce E Bray; Qing Zeng-Treitler
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.