Binary Risk Classification Models

Binary Risk Classification Models is a risk classification framework that distinguishes between two mutually exclusive risk categories by assigning entities to one of two discrete risk states based on predefined criteria.

8

Publications

356

Citations

32

Authors

18

Institutions

Publications per year

2017–2026

5

Authors

32

  1. MP
    Monica Panigazzi

    Istituti Clinici Scientifici Maugeri, Italy

    2 publications · 86 citations

    2

    h-index

  2. LD
    Leandro Donisi

    University of Naples Federico II, Italy

    2 publications · 86 citations

    2

    h-index

  3. GD
    Giovanni D’Addio

    University of Naples Federico II, Italy

    2 publications · 86 citations

    2

    h-index

  4. EC
    E Capodaglio

    University of Pavia, Italy

    2 publications · 86 citations

    2

    h-index

  5. AW
    Anna-Karin Wikström

    Uppsala University, Sweden

    1 publications · 52 citations

    1

    h-index

1–5 of 32

Venues

  1. BMC Medical Informatics and Decision Making

    1 publications · 15 citations

    1

    h-index

  2. PubMed

    Repository · 1 publications · 27 citations

    1

    h-index

  3. Journal of Sport Rehabilitation

    JSR · 1 publications · 92 citations

    1

    h-index

  4. PLoS ONE

    1 publications · 52 citations

    1

    h-index

  5. Sensors

    1 publications · 74 citations

    1

    h-index

1–5