• Standardized mappings--a frame...

Treffer: Standardized mappings--a framework to combine different semantic mappers into a standardized web-API.

Title:
Standardized mappings--a framework to combine different semantic mappers into a standardized web-API.
Authors:
Neuhaus P; Institute of Medical Informatics, Westfälische Wilhelms-Universität, Münster, Germany., Doods J; Institute of Medical Informatics, Westfälische Wilhelms-Universität, Münster, Germany., Dugas M; Institute of Medical Informatics, Westfälische Wilhelms-Universität, Münster, Germany.
Source:
Studies in health technology and informatics [Stud Health Technol Inform] 2015; Vol. 212, pp. 23-6.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform
Imprint Name(s):
Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
MeSH Terms:
Natural Language Processing* , Semantics* , Terminology as Topic*, Electronic Health Records/*standards , Software/*standards , Unified Medical Language System/*standards, Germany ; Internet/standards ; Medical Record Linkage/standards ; Pattern Recognition, Automated/standards
Entry Date(s):
Date Created: 20150612 Date Completed: 20161114 Latest Revision: 20161230
Update Code:
20250114
PMID:
26063253
Database:
MEDLINE

Weitere Informationen

Background: Automatic coding of medical terms is an important, but highly complicated and laborious task.
Objectives: To compare and evaluate different strategies a framework with a standardized web-interface was created. Two UMLS mapping strategies are compared to demonstrate the interface.
Methods: The framework is a Java Spring application running on a Tomcat application server. It accepts different parameters and returns results in JSON format. To demonstrate the framework, a list of medical data items was mapped by two different methods: similarity search in a large table of terminology codes versus search in a manually curated repository. These mappings were reviewed by a specialist.
Results: The evaluation shows that the framework is flexible (due to standardized interfaces like HTTP and JSON), performant and reliable. Accuracy of automatically assigned codes is limited (up to 40%).
Conclusion: Combining different semantic mappers into a standardized Web-API is feasible. This framework can be easily enhanced due to its modular design.