Prognostic Diagnostic Modeling

Prognostic Diagnostic Modeling is a computational or statistical framework that belongs to the class of diagnostic modeling approaches, distinguished by its integration of clinical and biomarker data to dynamically predict the likelihood and trajectory of sepsis progression, thereby enabling early risk stratification and individualized clinical decision-making.

192

Publications

11.2K

Citations

1.6K

Authors

724

Institutions

Publications per year

2017–2026

119

Authors

1.6K

  1. SM
    Susana M. Vieira

    University of Lisbon, Portugal

    3 publications · 68 citations

    3

    h-index

  2. JM
    João M. C. Sousa

    University of Lisbon, Portugal

    3 publications · 68 citations

    3

    h-index

  3. FC
    Federico Cismondi

    Massachusetts Institute of Technology, United States

    3 publications · 68 citations

    3

    h-index

  4. AR
    Arman Rahmim

    Johns Hopkins University, United States

    3 publications · 198 citations

    3

    h-index

  5. AS
    André S. Fialho

    Massachusetts Institute of Technology, United States

    3 publications · 68 citations

    3

    h-index

1–5 of 1.6K

Venues

  1. Scientific Reports

    7 publications · 205 citations

    8

    h-index

  2. PLoS ONE

    8 publications · 192 citations

    8

    h-index

  3. Artificial Intelligence in Medicine

    AIM · 7 publications · 427 citations

    7

    h-index

  4. JAMA Network Open

    4 publications · 200 citations

    4

    h-index

  5. Frontiers in Immunology

    2 publications · 61 citations

    3

    h-index

1–5