Early Sepsis Detection

Early Sepsis Detection is a clinical monitoring paradigm that enables the timely identification of sepsis during its initial physiological phase, prior to the onset of severe organ dysfunction, through the application of predictive analytics, physiological thresholds, or machine learning models to electronic health record data.

422

Publications

24.2K

Citations

2.3K

Authors

860

Institutions

Publications per year

2017–2026

273

Authors

2.3K

  1. SN
    Shamim Nemati

    Emory University, United States

    11 publications · 1.9K citations

    11

    h-index

  2. SP
    Supreeth P. Shashikumar

    Emory University, United States

    9 publications · 1.1K citations

    9

    h-index

  3. JF
    Joseph Futoma

    Duke University, United States

    9 publications · 785 citations

    9

    h-index

  4. RK
    Rishikesan Kamaleswaran

    Emory University, United States

    8 publications · 361 citations

    8

    h-index

  5. KM
    Karen M. Puopolo

    Children's Hospital of Philadelphia, United States

    8 publications · 513 citations

    8

    h-index

1–5 of 2.3K

Venues

  1. Critical Care Medicine

    16 publications · 2.3K citations

    15

    h-index

  2. PEDIATRICS

    11 publications · 1.1K citations

    11

    h-index

  3. Scientific Reports

    10 publications · 513 citations

    10

    h-index

  4. Computing in cardiology

    9 publications · 298 citations

    9

    h-index

  5. PubMed

    Repository · 8 publications · 186 citations

    8

    h-index

1–5