Diagnostic Uncertainty Analysis

Diagnostic Uncertainty Analysis is a formal methodological framework within Bayesian diagnostic reasoning that quantifies and characterizes uncertainty in diagnostic conclusions by systematically propagating prior probabilities, likelihoods, and evidence through probabilistic models to assess the reliability and confidence of differential diagnoses.

335

Publications

17.6K

Citations

1.5K

Authors

675

Institutions

Publications per year

2017–2026

110

Authors

1.5K

  1. JH
    Jørgen Hilden

    University of Copenhagen, Denmark

    5 publications · 506 citations

    5

    h-index

  2. DH
    David H. Gustafson

    University of Wisconsin–Madison, United States

    3 publications · 81 citations

    3

    h-index

  3. MS
    Murat Seçkin Ayhan

    University of Tübingen, Germany

    3 publications · 605 citations

    3

    h-index

  4. RM
    Rodolfo Montironi

    Marche Polytechnic University, Italy

    3 publications · 59 citations

    3

    h-index

  5. PH
    Peter H. Bartels

    University of Arizona, United States

    3 publications · 55 citations

    3

    h-index

1–5 of 1.5K

Venues

  1. PubMed

    Repository · 18 publications · 603 citations

    14

    h-index

  2. Medical Decision Making

    MDM · 7 publications · 364 citations

    7

    h-index

  3. Methods of Information in Medicine

    7 publications · 307 citations

    7

    h-index

  4. Radiology

    6 publications · 595 citations

    6

    h-index

  5. Statistics in Medicine

    5 publications · 256 citations

    5

    h-index

1–5