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

Fuzzy realization in clinical test database system.

H Nishimura1, M Kambe, K Futagami

  • 1Department of Medical Informatics, Hiroshima University Hospital, Japan.

International Journal of Bio-Medical Computing
|September 1, 1991
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

[Prediction of ovulation by urinary LH surge].

Nihon Naibunpi Gakkai zasshi·1992
Same author

Cell surface accessibility of GLUT4 glucose transporters in insulin-stimulated rat adipose cells. Modulation by isoprenaline and adenosine.

The Biochemical journal·1992
Same author

Efficient selection of mu m-mutants from mu m-expressing myeloma cells by treatment with ricin A-conjugated anti-mu antibody.

Somatic cell and molecular genetics·1992
Same author

Percutaneous transluminal coronary angioplasty in a patient with Kawasaki disease. A case report of an unsuccessful angioplasty.

Japanese heart journal·1992
Same author

(R)-(-)- and (S)-(+)-adenallene: synthesis, absolute configuration, enantioselectivity of antiretroviral effect, and enzymic deamination.

Journal of medicinal chemistry·1992
Same author

Effect of thiamin on cordycepin sensitivity in Saccharomyces cerevisiae.

FEBS letters·1992
Same journal

Commentary on a futuristic model of patient record systems and telemedicine.

International journal of bio-medical computing·1996
Same journal

Nonlinear eye movement detection method for drowsiness studies.

International journal of bio-medical computing·1996
Same journal

Segmentation of auditory brainstem response signals.

International journal of bio-medical computing·1996
Same journal

A comparison of neural network and Bayes recognition approaches in the evaluation of the brainstem trigeminal evoked potentials in multiple sclerosis.

International journal of bio-medical computing·1996
Same journal

Methodology for using the UMLS as a background knowledge for the description of surgical procedures.

International journal of bio-medical computing·1996
Same journal

An MLP-based model for identifying qEEG in depression.

International journal of bio-medical computing·1996
See all related articles

This study introduces a clinical test database system for hospitals, utilizing fuzzy query processing for easier medical data analysis. This approach enhances the retrieval and interpretation of laboratory data compared to traditional methods.

Area of Science:

  • Medical Informatics
  • Database Systems
  • Fuzzy Set Theory

Background:

  • Effective utilization of medical data is crucial for hospital staff.
  • Existing database systems may not adequately handle the complexities of medical data.
  • Need for efficient and accessible information retrieval and statistical analysis in clinical settings.

Purpose of the Study:

  • To develop a clinical test relational database system for Hiroshima University Hospital.
  • To enable easy on-line retrieval and statistical analysis of medical data.
  • To implement fuzzy query processing for improved data interpretation.

Main Methods:

  • Development of a relational database system tailored for clinical test data.
  • Integration of fuzzy query processing based on fuzzy set theory.

Related Experiment Videos

  • Utilizing natural linguistic representation for data queries.

    • Main Results:

    • The developed system provides easy on-line retrieval and statistical analysis capabilities.
    • Fuzzy query processing allows for natural language queries and easier medical knowledge representation.
    • Fuzzy set approaches demonstrate superiority in clinical evaluation of laboratory data over clear-cut definitions.

    Conclusions:

    • The clinical test relational database system enhances hospital staff's ability to access and analyze medical information.
    • Fuzzy set theory offers a more effective method for interpreting clinical laboratory data.
    • The system facilitates better clinical decision-making through improved data management and analysis.