Probabilistic Diagnosis

Probabilistic Diagnosis is a diagnostic framework that employs Bayesian inference to quantify and update the likelihood of potential conditions given observed evidence, distinguishing itself from deterministic methods by explicitly representing uncertainty through probability distributions.

374

Publications

20.2K

Citations

1K

Authors

454

Institutions

Publications per year

2017–2026

53

Authors

1K

  1. JH
    Jørgen Hilden

    University of Copenhagen, Denmark

    7 publications · 424 citations

    7

    h-index

  2. JD
    J. Dik F. Habbema

    Erasmus University Rotterdam, Netherlands

    6 publications · 420 citations

    6

    h-index

  3. BB
    Beth Bjerregaard

    University of North Carolina at Charlotte, United States

    5 publications · 360 citations

    5

    h-index

  4. OJ
    Ole J. Mengshoel

    Carnegie Mellon University, United States

    4 publications · 174 citations

    4

    h-index

  5. KW
    K. Wojtek Przytula

    HRL Laboratories (United States), United States

    4 publications · 155 citations

    4

    h-index

1–5 of 1K

Venues

  1. Methods of Information in Medicine

    20 publications · 955 citations

    14

    h-index

  2. PubMed

    Repository · 10 publications · 582 citations

    10

    h-index

  3. Artificial Intelligence in Medicine

    AIM · 5 publications · 236 citations

    5

    h-index

  4. IEEE Transactions on Computers

    5 publications · 176 citations

    5

    h-index

  5. Computers and Biomedical Research

    4 publications · 121 citations

    4

    h-index

1–5