Expected Mortality Modeling

Expected Mortality Modeling is a predictive analytics framework used in healthcare research that estimates the probability of patient death under standard care conditions, differentiated by its reliance on clinical severity indicators and population-level outcome data to quantify risk-adjusted mortality expectations.

54

Publications

5.4K

Citations

351

Authors

197

Institutions

Publications per year

2017–2026

20

Authors

351

  1. JA
    Jeffrey A. Alten

    University of Alabama at Birmingham, United States

    2 publications · 55 citations

    2

    h-index

  2. ST
    Sarah Tabbutt

    Children's Hospital of Philadelphia, United States

    2 publications · 55 citations

    2

    h-index

  3. JL
    J. L. Haybittle

    Addenbrooke's Hospital, United Kingdom

    2 publications · 67 citations

    2

    h-index

  4. RL
    Robert Lincoln Smith

    National Cancer Institute, United States

    2 publications · 117 citations

    2

    h-index

  5. MB
    Mousumi Banerjee

    University of Michigan, United States

    2 publications · 55 citations

    2

    h-index

1–5 of 351

Venues

  1. JNCI Journal of the National Cancer Institute

    4 publications · 320 citations

    4

    h-index

  2. International Journal of Epidemiology

    3 publications · 535 citations

    3

    h-index

  3. 3

    h-index

  4. medRxiv

    Repository · 2 publications · 77 citations

    2

    h-index

  5. JAMA

    2 publications · 57 citations

    2

    h-index

1–5