Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Experience with a mixed semantic/syntactic parser

P J Haug1, S Koehler, L M Lau

  • 1Department of Medical Informatics, LDS Hospital, Salt Lake City, Utah, USA.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

HPV vaccination in Hong Kong: implications for medical education.

Asian Pacific journal of cancer prevention : APJCP·2011
Same author

Familiality of diabetes mellitus.

Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association·2007
Same author

Building a comprehensive clinical information system from components. The approach at Intermountain Health Care.

Methods of information in medicine·2003
Same author

Molecular systematics of the Canidae.

Systematic biology·2002
Same author

Combining decision support methodologies to diagnose pneumonia.

Proceedings. AMIA Symposium·2002
Same author

Automatic identification of patients eligible for a pneumonia guideline: comparing the diagnostic accuracy of two decision support models.

Studies in health technology and informatics·2001
Same journal

Intelligent monitor for an anesthesia breathing circuit.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Design considerations for intelligent data entry: development of MedIO.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Medical information retrieval and WWW browsers at Mayo.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

A model of clinical query management that supports integration of biomedical information over the World Wide Web.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Automated MeSH indexing of the World-Wide Web.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Teaching literature searching in the context of the World Wide Web.

Proceedings. Symposium on Computer Applications in Medical Care·1995
See all related articles

Developing a natural language understanding system for chest x-ray reports is crucial for extracting coded medical information. This enables automated decision support, medical research, and improved healthcare management.

Area of Science:

  • Medical Informatics
  • Natural Language Processing

Background:

  • Computerized medical records require coded data for advanced applications.
  • Natural language medical reports need encoding for data manipulation.
  • Automated decision support and research rely on structured medical data.

Purpose of the Study:

  • To develop a natural language understanding (NLU) system for chest x-ray reports.
  • To facilitate the encoding of unstructured medical text into usable data.
  • To support automated decision support and medical research.

Main Methods:

  • Developing an ongoing formative process for an NLU system.
  • Focusing on natural language understanding specifically for chest x-ray reports.
  • Collecting and analyzing comparative data to track progress.

Related Experiment Videos

Main Results:

  • Presentation of comparative data demonstrating the progress of the NLU system development.
  • Evidence of the system's formative process and its advancements.
  • Insights into the feasibility of encoding chest x-ray reports.

Conclusions:

  • The development of NLU systems is vital for unlocking the potential of electronic health records.
  • Encoding natural language medical reports is a key step towards data-driven healthcare.
  • The presented process shows progress in creating a functional NLU system for radiology reports.