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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Published on: September 20, 2018

Formalizing ICD coding rules using Formal Concept Analysis.

Guoqian Jiang1, Jyotishman Pathak, Christopher G Chute

  • 1Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN 55905, USA. Jiang.Guoqian@mayo.edu

Journal of Biomedical Informatics
|February 25, 2009
PubMed
Summary
This summary is machine-generated.

Formal Concept Analysis (FCA) offers a practical method for formalizing International Classification of Disease (ICD) coding rules. FCA techniques effectively audit ICD domain knowledge completeness and provide high-level auditing profiles for all ICD chapters.

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Published on: January 8, 2020

Area of Science:

  • Medical Informatics
  • Knowledge Representation
  • Formal Methods

Background:

  • The 11th revision of the International Classification of Disease (ICD) necessitates formal representation of its coding rules.
  • The World Health Organization (WHO) has launched the ICD-11, increasing the need for standardized coding practices.

Purpose of the Study:

  • To explore Formal Concept Analysis (FCA) for examining ICD-10 coding rules.
  • To develop FCA-based auditing approaches for formalizing ICD coding rules.

Main Methods:

  • A model was developed to formalize ICD coding rules using FCA, generating rules in the Semantic Web Rule Language (SWRL).
  • Two auditing approaches were created to identify non-disjoint and anonymous nodes within the FCA model.
  • Candidate domains across all 22 ICD-10 chapters (2006 version) were analyzed.

Main Results:

  • 2044 formal contexts were generated and audited across 22 ICD chapters.
  • 692 ICD codes with non-disjoint nodes were identified, with highest proportions in chapters 19 and 21.
  • 6996 anonymous nodes were found in 1382 candidate domains, with high prevalence in chapters 7, 11, 13, 15, and 17.
  • Case studies confirmed the effectiveness of FCA-identified nodes for auditing ICD-10.

Conclusions:

  • FCA-based models provide a practical solution for formalizing ICD coding rules.
  • FCA techniques can audit the completeness of ICD domain knowledge.
  • FCA offers a high-level auditing profile applicable to all ICD chapters.