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

Recognizing new medical knowledge computationally

S J Nelson1, W G Cole, M S Tuttle

  • 1Department of Internal Medicine, Medical College of Georgia, Augusta.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
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

In Vivo Monitoring of Rat Spinal Cord Metabolism Using Hyperpolarized Carbon-13 MR Spectroscopic Imaging.

AJNR. American journal of neuroradiology·2016
Same author

Acute osteomyelitis overview.

Orthopedics·2014
Same author

Quantitative 7T phase imaging in premanifest Huntington disease.

AJNR. American journal of neuroradiology·2014
Same author

Characterization of solute transport in plasma membrane vesicles isolated from cotyledons ofRicinus communis L. : I. Adenosine triphosphatase and pyrophosphatase activities associated with a plasma membrane fraction isolated by phase partitioning.

Planta·2013
Same author

Characterization of solute transport in plasma membrane vesicles isolated from cotyledons ofRicinus communis L. : II. Evidence for a proton-coupled mechanism for sucrose and amino acid uptake.

Planta·2013
Same author

Characterization of solute/proton cotransport in plasma membrane vesicles from Ricinus cotyledons, and a comparison with other tissues.

Planta·2013
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

This study explores computationally recognizing new medical knowledge. A barrier word method successfully identified 23 out of 32 new concepts, aiding knowledge-based systems.

Area of Science:

  • Medical Informatics
  • Computational Linguistics

Background:

  • Medical knowledge is constantly evolving.
  • Knowledge-based systems require regular updates to remain effective.
  • Computational recognition of evolving knowledge is desirable for system maintenance.

Purpose of the Study:

  • To investigate the computational recognition of new medical knowledge.
  • To evaluate methods for identifying novel concepts and relationships in medical texts.

Main Methods:

  • Analysis of ten paragraphs from the American College of Physicians' Medical Knowledge Self-Assessment Program.
  • Nominal phrase recognition using the Meta-1.2 system.
  • Application of a barrier word method to identify new concepts.
  • Evaluation of co-occurrence of nominal phrases within sentences.

Related Experiment Videos

Main Results:

  • The Meta-1.2 system encountered unknown words, but only 8 of 32 new concepts were identified by these new words.
  • The barrier word method successfully identified 23 out of 32 new concepts.
  • Co-occurrence analysis showed potential for reducing human effort in recognizing new relationships.

Conclusions:

  • Computational methods, particularly the barrier word approach, show promise in identifying new medical knowledge.
  • Recognizing evolving medical knowledge computationally is feasible and can enhance knowledge-based systems.
  • Further research into co-occurrence methods may streamline the identification of new relationships.