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

Revising ranked probabilities: a Bayesian approach to incomplete knowledge.

J D Horbar

    Computers and Biomedical Research, an International Journal
    |August 1, 1983
    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

    Alarm safety and oxygen saturation targets in the Vermont Oxford Network iNICQ 2015 collaborative.

    Journal of perinatology : official journal of the California Perinatal Association·2016
    Same author

    Real time patient safety audits: improving safety every day.

    Quality & safety in health care·2005
    Same author

    Major birth defects in very low birth weight infants in the Vermont Oxford Network.

    The Journal of pediatrics·2001
    Same author

    Collaborative quality improvement for neonatal intensive care. NIC/Q Project Investigators of the Vermont Oxford Network.

    Pediatrics·2001
    Same author

    Economic implications of neonatal intensive care unit collaborative quality improvement.

    Pediatrics·2001
    Same author

    Morbidity and mortality among very-low-birth-weight neonates with intrauterine growth restriction. The Vermont Oxford Network.

    American journal of obstetrics and gynecology·2000
    Same journal

    Wavelet domain nonlinear filtering for evoked potential signal enhancement.

    Computers and biomedical research, an international journal·2001
    Same journal

    Time-frequency analysis of the RT and RR variability to stratify hypertrophic cardiomyopathy patients.

    Computers and biomedical research, an international journal·2001
    Same journal

    Controlled auxotonic twitch in papillary muscle: a new computer-based control approach.

    Computers and biomedical research, an international journal·2001
    Same journal

    Controlling for chance agreement in the validation of medical expert systems with no gold standard: PNEUMON-IA and RENOIR revisited.

    Computers and biomedical research, an international journal·2001
    Same journal

    Artificial neural networks compared to factor analysis for low-dimensional classification of high-dimensional body fat topography data of healthy and diabetic subjects.

    Computers and biomedical research, an international journal·2000
    Same journal

    On the parallelization of linkmap from the LINKAGE/FASTLINK package.

    Computers and biomedical research, an international journal·2000
    See all related articles

    Physicians can update disease probability rankings using incomplete knowledge about prior probabilities and clinical findings. This study explores Monte Carlo methods for revising these rankings in medical decision-making.

    Area of Science:

    • Decision Analysis
    • Medical Informatics
    • Probability Theory

    Background:

    • Decision-making in medicine often involves incomplete knowledge, where probabilities can be ranked but not precisely quantified.
    • Physicians must revise initial disease probability assessments based on new clinical evidence.

    Purpose of the Study:

    • To investigate methods for updating disease probability rankings under conditions of incomplete knowledge.
    • To explore the use of Monte Carlo simulations for probability revision in clinical scenarios.

    Main Methods:

    • Utilized a Monte Carlo approach to simulate probability revision processes.
    • Focused on scenarios where only rank-order information is available for prior disease probabilities and conditional findings.
    • Estimated posterior rankings for 2, 3, and 4 disease states.

    Related Experiment Videos

    Main Results:

    • Provided computer-generated estimates for the expected frequencies of posterior disease probability rankings.
    • Demonstrated how rank-order information can be leveraged for probability revision.
    • Quantified the outcomes of probability revision for varying numbers of potential diseases.

    Conclusions:

    • Probability revision is feasible even with incomplete knowledge, using rank-order data.
    • Monte Carlo methods offer a viable approach for estimating posterior probabilities in complex clinical situations.
    • Findings have implications for improving therapeutic decision-making under uncertainty.