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

Algorithm for assisting medical diagnosis

J C Tohá1, S Vásquez, P Fuentes

  • 1Departamento de Física, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago.

Computer Methods and Programs in Biomedicine
|April 1, 1993
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

The supplementation with 1-3 beta-glucan to sows improves piglet's performance and ensures a good immune status of the sow.

Animal : an international journal of animal bioscience·2026
Same author

S100A12 protein as a porcine health status biomarker when quantified in saliva samples.

Veterinary journal (London, England : 1997)·2024
Same author

Association of eating behaviour with clock gene polymorphism 3111 T > C in children based on nutritional status.

Annals of human biology·2020
Same author

Erratum to: A new window to understanding individual differences in reward sensitivity from attentional networks.

Brain structure & function·2014
Same author

A new window to understanding individual differences in reward sensitivity from attentional networks.

Brain structure & function·2014
Same author

Two distinguishable fluorescent modes of 1-anilino-8-naphthalenesulfonate bound to human albumin.

Journal of fluorescence·2013
Same journal

MMFVS-Net: A triple-symmetric cross-attention network for multimodal optical image fusion and high-accuracy virtual staining of breast cancer tissues.

Computer methods and programs in biomedicine·2026
Same journal

A novel Milstein-stochastic epidemiologically-informed neural network for approaching epidemic dynamics: Application to Mpox disease.

Computer methods and programs in biomedicine·2026
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
See all related articles

A new algorithm aids medical diagnosis by assessing patient similarity to diseases and differences from others. This approach assists in diagnosing conditions like neuropathies.

Area of Science:

  • Medical Informatics
  • Clinical Decision Support
  • Neurology

Background:

  • Accurate medical diagnosis is crucial for effective patient treatment.
  • Differential diagnosis involves distinguishing a patient's condition from a list of similar diseases.
  • Existing diagnostic methods can be complex and time-consuming.

Purpose of the Study:

  • To introduce a novel algorithm for medical diagnosis assistance.
  • To enhance diagnostic accuracy by evaluating disease similarity and dissimilarity.
  • To demonstrate the algorithm's application in diagnosing neuropathies.

Main Methods:

  • The algorithm analyzes a patient's data to determine similarity to a specific disease.
  • It simultaneously evaluates the patient's dissimilarity to other potential diseases in the differential diagnosis.

Related Experiment Videos

  • The method was exemplified using cases of neuropathies.

    • Main Results:

    • The algorithm provides a quantitative measure of disease similarity and dissimilarity.
    • Simultaneous evaluation allows for a more refined diagnostic suggestion.
    • Successful application in assisting the diagnosis of neuropathies was demonstrated.

    Conclusions:

    • The developed algorithm offers a systematic approach to medical diagnosis assistance.
    • It improves diagnostic precision by considering both disease congruence and exclusion.
    • This method shows promise for application in various medical fields, including neurology.