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

Rule induction and instance-based learning applied in medical diagnosis

S Dzeroski1, N Lavrac

  • 1Jozef Stefan Institute, Ljubljana, Slovenia. Saso.Dzeroski@ijs.si

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|August 1, 1996
PubMed
Summary

Machine learning aids medical diagnosis by analyzing patient records. This study explores rule induction and instance-based learning for early rheumatic disease diagnosis, enhancing clinical decision-making.

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

Contaminants of emerging concern: Silylation procedures, evaluation of the stability of silyl derivatives and associated measurement uncertainty.

The Science of the total environment·2023
Same author

The discriminatory value of cardiorespiratory interactions in distinguishing awake from anaesthetised states: a randomised observational study.

Anaesthesia·2015
Same author

ADP-ribosylation factor guanine nucleotide-exchange factor 2 (ARFGEF2): a new potential biomarker in Huntington's disease.

The Journal of international medical research·2011
Same author

Radon in a thermal spring: identification of anomalies related to seismic activity.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2006
Same author

Application of decision trees to the analysis of soil radon data for earthquake prediction.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2003
Same author

A reappraisal of saprobic values and indicator weights based on Slovenian river quality data.

Water research·2002

Area of Science:

  • * Medical Informatics
  • * Artificial Intelligence in Medicine
  • * Clinical Decision Support Systems

Background:

  • * Machine learning (ML) enhances medical decision-making through automatic patient data analysis.
  • * Learning from historical patient records improves diagnostic accuracy and prognostic predictions.
  • * ML classifies new cases using explicit rules or instance-based comparisons.

Purpose of the Study:

  • * To present rule induction and instance-based learning methodologies.
  • * To apply these ML methods to medical diagnosis, specifically early rheumatic disease detection.
  • * To explore the integration of expert knowledge into the ML learning process.

Main Methods:

  • * Rule induction: Generalizing training cases into explicit diagnostic rules.

Related Experiment Videos

  • * Instance-based learning: Classifying new cases by comparing them to stored historical records.
  • * Evaluation of expert knowledge integration for supporting ML models.

    • Main Results:

    • * Demonstrated the applicability of rule induction and instance-based learning for medical diagnosis.
    • * Showcased potential for early diagnosis of rheumatic diseases using ML.
    • * Identified benefits and challenges of incorporating expert knowledge.

    Conclusions:

    • * Machine learning methods offer significant potential for improving medical diagnosis and prognosis.
    • * Rule induction and instance-based learning are effective approaches for analyzing patient data.
    • * Integrating expert knowledge can further enhance the utility of ML in clinical settings, particularly for early disease detection.