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

Optimal selection of a battery of tests: a multiobjective optimization methodology.

S L Hu1, Y Y Haimes, R S Galen

  • 1Systems Engineering Department, Case Western Reserve University, Cleveland, Ohio 44106.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|January 1, 1988
PubMed
Summary

Selecting optimal diagnostic test batteries is crucial. This study applies multiobjective optimization to identify high-performing test combinations efficiently, improving diagnostic accuracy and reducing costs.

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

Test of CP Symmetry in the Neutral Decays of Λ via J/ψ→ΛΛ[over ¯].

Physical review letters·2026
Same author

Precise Measurement of the Chromoelectric Dipole Moment of the Charm Quark.

Physical review letters·2026
Same author

Precise Measurement of Matter-Antimatter Asymmetry with Entangled Hyperon-Antihyperon Pairs.

Physical review letters·2026
Same author

Observation of Λ[over ¯]p→K^{+}π^{+}π^{-}π^{0} and Λ[over ¯]p→K^{+}π^{+}π^{-}2π^{0}.

Physical review letters·2026
Same author

First Measurement of the D_{s}^{+}→K^{0}μ^{+}ν_{μ} Decay.

Physical review letters·2026
Same author

Observation of the Electromagnetic Radiative Decays of the Λ(1520) and Λ(1690) to γΣ^{0}.

Physical review letters·2026

Area of Science:

  • Biostatistics
  • Medical Informatics
  • Computational Biology

Background:

  • Selecting optimal diagnostic test batteries is complex, requiring consideration of multiple performance metrics.
  • Traditional methods may not efficiently explore the full range of possible test combinations.

Purpose of the Study:

  • To develop a methodology for selecting optimal diagnostic test batteries using multiobjective optimization.
  • To introduce an extended majority rule for interpreting compound test results.

Main Methods:

  • Application of multiobjective optimization to battery selection based on sensitivity, specificity, and cost.
  • Development and utilization of an extended majority rule for test result interpretation.

Main Results:

Related Experiment Videos

  • The proposed method generates a set of noninferior test batteries without evaluating all combinations.
  • Demonstrated efficiency in identifying optimal test batteries for diagnostic purposes.

Conclusions:

  • Multiobjective optimization provides an effective framework for selecting diagnostic test batteries.
  • The extended majority rule offers a robust method for interpreting complex test results.