Concepedia

Explainable Risk Segmentation

Explainable Risk Segmentation is a risk segmentation framework that enables transparent and interpretable categorization of risk entities by explicitly revealing the underlying factors, criteria, and decision logic used to differentiate risk levels.

3

Publications

114

Citations

11

Authors

6

Institutions

Publications per year

2017–2026

1

Parents

Publications

3

1–3 of 3

Authors

11

  1. CA
    Christopher A. Harle

    University of Florida, United States

    1 publications · 13 citations

    1

    h-index

  2. JS
    Julie S. Downs

    Carnegie Mellon University, United States

    1 publications · 13 citations

    1

    h-index

  3. YW
    Yong Wu

    Hefei University of Technology, China

    1 publications · 47 citations

    1

    h-index

  4. TZ
    Tianjiao Zhang

    Hefei University of Technology, China

    1 publications · 47 citations

    1

    h-index

  5. WZ
    Weidong Zhu

    Hefei University of Technology, China

    1 publications · 47 citations

    1

    h-index

1–5 of 11

Institutions

6

  1. University of Florida Health

    Gainesville, United States

    1 h-index

    1 publications

    13 citations

  2. University of Florida

    Gainesville, United States

    1 h-index

    1 publications

    13 citations

  3. Hefei University of Technology

    Hefei, China

    1 h-index

    6 publications

    282 citations

  4. University of Minnesota

    Minneapolis, United States

    1 h-index

    2 publications

    108 citations

  5. Department of Health Services

    Berkeley, United States

    1 h-index

    1 publications

    13 citations

  6. Carnegie Mellon University

    Pittsburgh, United States

    1 h-index

    2 publications

    26 citations

1–6 of 6

Venues

  1. Journal of Health Economics

    1 publications · 54 citations

    1

    h-index

  2. Finance research letters

    1 publications · 47 citations

    1

    h-index

  3. Methods of Information in Medicine

    1 publications · 13 citations

    1

    h-index

1–3