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

Diagnosing congenital heart defects using the Fallot computational model

N E Reed1, M Gini, P E Johnson

  • 1Department of Computer Science, University of California, Davis 95616-8562, USA.

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

Mass size distributions, composition and dose estimates of particulate matter in Saharan dust outbreaks.

Environmental pollution (Barking, Essex : 1987)·2022
Same author

A Reusable Thermochromic Phantom for Testing High Intensity Focused Ultrasound Technologies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2021
Same author

Quantitative assessment of the variability in chemical profiles from source apportionment analysis of PM10 and PM2.5 at different sites within a large metropolitan area.

Environmental research·2020
Same author

Rapid characterization of folding and binding interactions with thermolabile ligands by DSC.

Chemical communications (Cambridge, England)·2016
Same author

The effect of thermal processing on the behaviour of peanut allergen peptide targets used in multiple reaction monitoring mass spectrometry experiments.

The Analyst·2016
Same author

The challenge of logotherapy.

Journal of religion and health·2014

This study introduces the Fallot computational model for diagnosing complex congenital heart defects. Fallot accurately identifies multiple interacting defects where traditional methods fail, improving diagnostic capabilities.

Area of Science:

  • Medical Informatics
  • Computational Biology
  • Cardiology

Background:

  • Diagnosing multiple interacting defects in congenital heart conditions is challenging due to non-additive cue changes.
  • Existing diagnostic methods often fail when defects present complex interactions.

Purpose of the Study:

  • To develop and implement a computational model for the accurate diagnosis of multiple interacting congenital heart defects.
  • To classify and describe cue interactions in complex cardiac defects.

Main Methods:

  • Developed a computational model named Fallot.
  • Constructed a knowledge base for congenital heart defect diagnosis.
  • Implemented recognition-based reasoning, solution construction, and cue combination evaluation.

Related Experiment Videos

Main Results:

  • The Fallot model correctly diagnosed cases with multiple interacting defects.
  • Fallot demonstrated superior performance compared to conventional methods in complex cases.
  • The model successfully handled cases where conventional methods were inapplicable or failed.

Conclusions:

  • The Fallot computational model offers a robust solution for diagnosing complex congenital heart defects.
  • This approach enhances diagnostic accuracy for interacting cardiac anomalies.
  • The developed cue combination methods are effective for complex defect diagnosis.