Dynamic Prognostic Modeling

Dynamic Prognostic Modeling is a computational framework that belongs to the class of prognostic models in clinical informatics and is distinguished by its capacity to continuously update patient risk predictions over time through the integration of sequential physiological and laboratory data for sepsis outcomes.

124

Publications

7.1K

Citations

1.3K

Authors

387

Institutions

Publications per year

2017–2026

70

Publications

124

1–5 of 124

Authors

1.3K

  1. HP
    Hein Putter

    Leiden University Medical Center, Netherlands

    5 publications · 257 citations

    5

    h-index

  2. CP
    Cécile Proust‐Lima

    Inserm, France

    4 publications · 458 citations

    4

    h-index

  3. CP
    Cristiana Pascutto

    University of Pavia, Italy

    4 publications · 2.1K citations

    4

    h-index

  4. JJ
    Johanna J.M. Takkenberg

    Erasmus MC, Netherlands

    4 publications · 128 citations

    4

    h-index

  5. ML
    Mario Lazzarino

    University of Pavia, Italy

    3 publications · 2.1K citations

    3

    h-index

1–5 of 1.3K

Venues

  1. Journal of Biomedical Informatics

    6 publications · 348 citations

    6

    h-index

  2. 5

    h-index

  3. Statistical Methods in Medical Research

    4 publications · 118 citations

    4

    h-index

  4. Scientific Reports

    4 publications · 141 citations

    4

    h-index

  5. Statistics in Medicine

    4 publications · 85 citations

    4

    h-index

1–5