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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Modeling the Arden Syntax for medical decisions in XML.
Sukil Kim1, Peter J Haug, Roberto A Rocha
1Department of Preventive Medicine, The Catholic University of Korea, 505 Banpo-dong, Seocho-gu, Seoul 137-701, Korea.
International Journal of Medical Informatics
|March 7, 2008
Summary
A new model converts Arden Syntax Markup Language (ArdenML) to XML, enhancing portability and resolving statement structure errors. This facilitates easier transformation into other languages.
Area of Science:
- Medical Informatics
- Computer Science
- Clinical Decision Support
Background:
- Arden Syntax is a standard for clinical decision support rules.
- Portability and interoperability of Arden Syntax rules are limited in traditional text formats.
- eXtensible Markup Language (XML) offers a standardized, portable data representation.
Purpose of the Study:
- To develop a novel model for expressing Arden Syntax using XML.
- To enhance the portability and machine-readability of Arden Syntax Medical Logic Modules (MLMs).
Main Methods:
- Manual parsing and optimization of XML schema and XSL style sheets.
- Validation of Arden Syntax Markup Language (ArdenML) against the XML schema.
- Transformation of ArdenML to HTML via XSL style sheets, with iterative refinement.
- Encoding MLMs into XML documents and reverse-parsing for validation.
Main Results:
- Successfully transformed 277 MLMs into XML documents.
- Reverse-parsing confirmed the integrity of the original MLMs.
- Resolved all 11 statement structure errors inherent in the text-based ArdenML.
- Implemented dual syntax checking: XML validation and XSL style sheet checks.
Conclusions:
- A robust XML schema for ArdenML has been established.
- The developed model enhances Arden Syntax portability and error detection.
- Enables future development of style sheets for transforming ArdenML into diverse formats.
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