Probability-based Decision Support

Probability-Based Decision Support is a clinical decision support framework that uses probabilistic models to quantify uncertainty and guide diagnostic or therapeutic recommendations by integrating prior knowledge with patient-specific evidence.

145

Publications

12K

Citations

457

Authors

249

Institutions

Publications per year

2017–2026

30

Authors

457

  1. SG
    Stephen G. Pauker

    Tufts Medical Center, United States

    3 publications · 628 citations

    3

    h-index

  2. AM
    Annette M. O’Connor

    University of Ottawa, Canada

    3 publications · 265 citations

    3

    h-index

  3. DR
    Daniëlle R. M. Timmermans

    Amsterdam Public Health, Netherlands

    3 publications · 281 citations

    3

    h-index

  4. BQ
    Bahar Qarabaqi

    Northeastern University, United States

    2 publications · 28 citations

    2

    h-index

  5. RF
    Robert F. Stengel

    Princeton University, United States

    2 publications · 57 citations

    2

    h-index

1–5 of 457

Venues

  1. Medical Decision Making

    MDM · 15 publications · 1.5K citations

    12

    h-index

  2. PubMed

    Repository · 8 publications · 309 citations

    8

    h-index

  3. Methods of Information in Medicine

    4 publications · 226 citations

    4

    h-index

  4. JAMA

    3 publications · 72 citations

    3

    h-index

  5. IEEE Transactions on Biomedical Engineering

    2 publications · 32 citations

    2

    h-index

1–5