Regression Tree Segmentation

Regression Tree Segmentation is a predictive modeling technique that recursively partitions a population into homogeneous subgroups based on covariate values, using regression trees to identify risk strata characterized by distinct outcome expectations.

28

Publications

991

Citations

135

Authors

81

Institutions

Publications per year

2017–2026

8

Authors

135

  1. PW
    Pascal Wild

    Institut National de Recherche et de Sécurité, France

    1 publications · 14 citations

    1

    h-index

  2. OS
    Olivier Soubrane

    Hôpital Beaujon, France

    1 publications · 82 citations

    1

    h-index

  3. AL
    Amanda L. Kong

    Medical College of Wisconsin, United States

    1 publications · 25 citations

    1

    h-index

  4. LL
    Lingfei Li

    Yunnan Agricultural University, China

    1 publications · 21 citations

    1

    h-index

  5. YW
    Yongsheng Wu

    Bedford Institute of Oceanography, Canada

    1 publications · 32 citations

    1

    h-index

1–5 of 135

Venues

  1. Clinical Gastroenterology and Hepatology

    CGH · 1 publications · 36 citations

    1

    h-index

  2. Skin Research and Technology

    1 publications · 21 citations

    1

    h-index

  3. 1

    h-index

  4. Canadian Journal of Forest Research

    1 publications · 35 citations

    1

    h-index

  5. Pain Physician

    1 publications · 53 citations

    1

    h-index

1–5