Probabilistic Diagnostic Modeling

Probabilistic Diagnostic Modeling is a computational framework within diagnostic decision support that employs probabilistic reasoning to represent and infer the likelihood of diseases given observed symptoms, thereby distinguishing itself from deterministic methods by explicitly quantifying uncertainty in diagnostic hypotheses.

434

Publications

23.7K

Citations

1.3K

Authors

540

Institutions

Publications per year

2017–2026

73

Authors

1.3K

  1. JH
    Jørgen Hilden

    University of Copenhagen, Denmark

    6 publications · 323 citations

    6

    h-index

  2. GF
    Gregory F. Cooper

    University of Pittsburgh, United States

    6 publications · 477 citations

    6

    h-index

  3. AO
    Agnieszka Oniśko

    University of Pittsburgh Medical Center, United States

    6 publications · 177 citations

    5

    h-index

  4. MJ
    Marek J. Drużdżel

    University of Pittsburgh, United States

    5 publications · 158 citations

    5

    h-index

  5. DH
    David Heckerman

    Microsoft (United States), United States

    5 publications · 517 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. Methods of Information in Medicine

    20 publications · 1.1K citations

    16

    h-index

  2. PubMed

    Repository · 21 publications · 869 citations

    14

    h-index

  3. Medical Decision Making

    MDM · 15 publications · 730 citations

    13

    h-index

  4. Expert Systems with Applications

    10 publications · 369 citations

    10

    h-index

  5. Statistics in Medicine

    9 publications · 308 citations

    9

    h-index

1–5