Organ Dysfunction Prediction

Organ Dysfunction Prediction is a computational methodology within clinical prognostic modeling that specifically enables the early identification and quantification of impending physiological system failures in sepsis patients through the analysis of longitudinal biomarkers and vital sign trajectories.

672

Publications

46.2K

Citations

4.7K

Authors

1.4K

Institutions

Publications per year

2017–2026

277

Authors

4.7K

  1. VP
    Ville Pettilä

    Helsinki University Hospital, Finland

    9 publications · 804 citations

    9

    h-index

  2. LN
    L. Nelson Sanchez‐Pinto

    Northwestern University, United States

    8 publications · 401 citations

    8

    h-index

  3. LL
    Lyle L. Moldawer

    University of Florida, United States

    8 publications · 528 citations

    8

    h-index

  4. FA
    Frederick A. Moore

    University of Florida, United States

    7 publications · 660 citations

    7

    h-index

  5. JH
    John H. Boyd

    University of British Columbia, Canada

    7 publications · 868 citations

    7

    h-index

1–5 of 4.7K

Venues

  1. Critical Care Medicine

    57 publications · 6.7K citations

    41

    h-index

  2. PLoS ONE

    24 publications · 891 citations

    20

    h-index

  3. Critical Care

    CC · 23 publications · 1.4K citations

    20

    h-index

  4. PubMed

    Repository · 29 publications · 817 citations

    18

    h-index

  5. Shock

    19 publications · 914 citations

    16

    h-index

1–5