Severity Estimation Models

Severity Estimation Models is a computational framework that quantifies the extent and impact of disease manifestations in individuals or populations by integrating clinical, physiological, and/or molecular indicators to differentiate levels of disease seriousness within a standardized grading system.

142

Publications

19.4K

Citations

572

Authors

292

Institutions

Publications per year

2017–2026

87

Authors

572

  1. SL
    Stanley Lemeshow

    The Ohio State University, United States

    3 publications · 143 citations

    3

    h-index

  2. RA
    Renato A. Krohling

    Universidade Federal do Espírito Santo, Brazil

    3 publications · 392 citations

    3

    h-index

  3. RN
    R. Nedunchelian

    Excel Life Sciences (India), India

    1 publications · 21 citations

    2

    h-index

  4. JS
    Jeevanand Seshadrinath

    Indian Institute of Technology Roorkee, India

    2 publications · 70 citations

    2

    h-index

  5. MY
    Muhammad Yaqub

    Beijing University of Technology, China

    2 publications · 48 citations

    2

    h-index

1–5 of 572

Venues

  1. Journal of Transportation Safety & Security

    4 publications · 75 citations

    4

    h-index

  2. IEEE Access

    3 publications · 239 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 34 citations

    2

    h-index

  4. Signal Processing

    2 publications · 32 citations

    2

    h-index

  5. Accident Analysis & Prevention

    2 publications · 231 citations

    2

    h-index

1–5