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

DIAVAL, a Bayesian expert system for echocardiography

F J Díez1, J Mira, E Iturralde

  • 1Department of Artificial Intelligence, UNED, Madrid, Spain. fjdiez,jmira@dia.uned.es

Artificial Intelligence in Medicine
|May 1, 1997
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

Pilot Implementation of Guiando Buenas Decisiones, an Evidence-Based Parenting Program for Spanish-Speaking Families, in Pediatric Primary Care in a Large, U.S. Health System: A Qualitative Interview Study.

Journal of prevention (2022)·2024
Same author

Promoting second victims' intervention support programs.

Journal of healthcare quality research·2024
Same author

Effects of endurance cycling training on neuromuscular fatigue in healthy active men. Part II: Corticospinal excitability and voluntary activation.

European journal of applied physiology·2018
Same author

Effects of endurance training on neuromuscular fatigue in healthy active men. Part I: Strength loss and muscle fatigue.

European journal of applied physiology·2018
Same author

Teaching probabilistic medical reasoning with the Elvira software.

Yearbook of medical informatics·2016
Same author

Beam experiments with the Grenoble test electron cyclotron resonance ion source at iThemba LABS.

The Review of scientific instruments·2016

DIAVAL, an expert system using Bayesian networks, aids in diagnosing heart diseases from echocardiography data. It computes probabilities to identify likely diagnoses and generate reports, demonstrating effective program evaluation.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Cardiology

Background:

  • Expert systems offer potential for complex medical diagnoses.
  • Echocardiography provides crucial data for cardiac assessment.
  • Probabilistic models enhance diagnostic accuracy.

Purpose of the Study:

  • To present DIAVAL, an expert system for heart disease diagnosis.
  • To detail the Bayesian network knowledge base and diagnostic process.
  • To evaluate the performance of the DIAVAL system.

Main Methods:

  • Development of a causal probabilistic model using a Bayesian network.
  • Incorporation of echocardiography data into the knowledge base.
  • Computation of a posteriori probabilities for diagnosis.

Related Experiment Videos

  • Selection of probable and relevant diagnoses.
  • Automated generation of diagnostic reports.

    • Main Results:

    • The Bayesian network, including OR gate logic, forms the core of the knowledge base.
    • The diagnostic process effectively computes probabilities and identifies key diagnoses.
    • Program evaluation results indicate the system's efficacy.

    Conclusions:

    • DIAVAL is a viable expert system for heart disease diagnosis.
    • Bayesian networks are suitable for modeling complex cardiac conditions.
    • The system demonstrates the practical application of AI in clinical decision support.