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

Supporting multi-level multi-perspective dynamic decision making in medicine.

S Sundaresh1, T Y Leong, P Haddawy

  • 1Medical Computing Laboratory, School of Computing, National University of Singapore. sumans@comp.nus.edu.sg

Proceedings. AMIA Symposium
|November 24, 1999
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

Effectiveness of the Multilayered Caries Model and Visuo-tactile Virtual Reality Simulator for Minimally Invasive Caries Removal: A Randomized Controlled Trial.

Operative dentistry·2018
Same author

The Medical Informatics Program at the National University of Singapore.

Yearbook of medical informatics·2016
Same author

Adaptation of the thylakoid membranes of pea chloroplasts to light intensities. I. Study on the distribution of chlorophyll-protein complexes.

Photosynthesis research·2014
Same author

Adaptation of the thylakoid membranes of pea chloroplasts to light intensities. II. Regulation of electron transport capacities, electron carriers, coupling factor (CF1) activity and rates of photosynthesis.

Photosynthesis research·2014
Same author

The use of cone-beam computed tomography and virtual reality simulation for pre-surgical practice in endodontic microsurgery.

International endodontic journal·2012
Same author

Antipsychotics activate the TGFβ pathway effector SMAD3.

Molecular psychiatry·2012
Same journal

Progressive display of very high resolution images using wavelets.

Proceedings. AMIA Symposium·2002
Same journal

The Chronus II temporal database mediator.

Proceedings. AMIA Symposium·2002
Same journal

Gene expression levels in different stages of progression in oral squamous cell carcinoma.

Proceedings. AMIA Symposium·2002
Same journal

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

Proceedings. AMIA Symposium·2002
Same journal

Filtering for medical news items using a machine learning approach.

Proceedings. AMIA Symposium·2002
Same journal

Enriching the structure of the UMLS semantic network.

Proceedings. AMIA Symposium·2002
See all related articles

This study introduces abstraction and refinement techniques for simplifying complex medical decision models. These methods aid in managing intricate patient data and uncertain probabilities, particularly in time-critical scenarios.

Area of Science:

  • Decision analysis
  • Medical informatics
  • Health modeling

Background:

  • Medical decision problems often involve numerous variables, increasing complexity.
  • Building accurate decision models requires managing uncertainty and data limitations.
  • Abstraction is a key strategy for simplifying complex models.

Purpose of the Study:

  • To identify and formalize abstraction and refinement operations in decision model construction.
  • To demonstrate the practical application of these operations in a clinical context.

Main Methods:

  • Formalization of abstraction and refinement operations.
  • Application of these operations to a colorectal cancer patient follow-up management case study.

Main Results:

Related Experiment Videos

  • Abstraction and refinement provide structured approaches to simplify complex medical decision models.
  • These techniques enhance model usability in situations with limited data or time constraints.

Conclusions:

  • Abstraction and refinement are essential tools for building and managing complex medical decision models.
  • The formalized operations offer a systematic way to handle model complexity in clinical practice.