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

A broad-coverage natural language processing system.

C Friedman1

  • 1Department of Computer Science, Queens College CUNY, USA.

Proceedings. AMIA Symposium
|November 18, 2000
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

Urban air pollution and in vitro fertilization outcomes: A Canadian retrospective study.

Reproductive toxicology (Elmsford, N.Y.)·2026
Same author

Development of a battery of tests to measure attitudes and intended behaviours of dental students towards people with disability or those in marginalised groups.

European journal of dental education : official journal of the Association for Dental Education in Europe·2017
Same author

Patient-Centered Network of Learning Health Systems: Developing a resource for clinical translational research.

Journal of clinical and translational science·2017
Same author

The kinematics of the California sea lion foreflipper during forward swimming.

Bioinspiration & biomimetics·2014
Same author

Similarity-based modeling applied to signal detection in pharmacovigilance.

CPT: pharmacometrics & systems pharmacology·2014
Same author

Methods for identifying suicide or suicidal ideation in EHRs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2013
Same journal

Progressive display of very high resolution images using wavelets.

Proceedings. AMIA Symposium·2002
Same journal

The Chronus II temporal database mediator.

Proceedings. AMIA Symposium·2002
Same journal

Gene expression levels in different stages of progression in oral squamous cell carcinoma.

Proceedings. AMIA Symposium·2002
Same journal

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

Proceedings. AMIA Symposium·2002
Same journal

Filtering for medical news items using a machine learning approach.

Proceedings. AMIA Symposium·2002
Same journal

Enriching the structure of the UMLS semantic network.

Proceedings. AMIA Symposium·2002
See all related articles

Natural language processing (NLP) systems effectively extract clinical data. Extending the MedLEE NLP system across multiple medical domains demonstrates its adaptability and resource efficiency for broader clinical information extraction.

Area of Science:

  • Medical Informatics
  • Computational Linguistics
  • Clinical Data Extraction

Background:

  • Natural language processing (NLP) systems are valuable for extracting clinical information from text.
  • Existing NLP systems are often domain-specific, requiring significant development resources.
  • The adaptability of NLP systems across diverse medical applications is crucial for efficient clinical data utilization.

Purpose of the Study:

  • To describe the extensions of the MedLEE NLP system to multiple clinical domains.
  • To demonstrate the system's adaptability beyond its original application.
  • To highlight the benefits of an extendible NLP system for clinical information extraction.

Main Methods:

  • The MedLEE NLP system, initially for chest radiology reports, was systematically extended.

Related Experiment Videos

  • The system's application was broadened to include mammography, discharge summaries, general radiology, electrocardiography, echocardiography, and pathology reports.
  • The development process focused on creating an easily extendible architecture.

    • Main Results:

    • The MedLEE NLP system was successfully adapted to various new clinical domains.
    • The extensions demonstrated the system's versatility in processing diverse medical report types.
    • The project confirmed the feasibility of extending a single NLP system across multiple applications.

    Conclusions:

    • The MedLEE NLP system's architecture facilitates extension to multiple clinical domains.
    • An extendible NLP system offers a resource-efficient approach to clinical information extraction.
    • The successful multi-domain application of MedLEE supports its broader adoption in healthcare informatics.