Predictive Toxicity Models

Predictive Toxicity Models is a computational or statistical framework designed to estimate the likelihood and severity of adverse effects from chemotherapy in older adults by integrating patient-specific factors, pharmacokinetic profiles, and treatment regimens to enhance clinical decision-making.

212

Publications

13.6K

Citations

1.6K

Authors

650

Institutions

Publications per year

2017–2026

92

Authors

1.6K

  1. AH
    Arti Hurria

    City of Hope, United States

    9 publications · 1K citations

    9

    h-index

  2. WP
    William P. Tew

    Memorial Sloan Kettering Cancer Center, United States

    6 publications · 877 citations

    6

    h-index

  3. VK
    Vani Katheria

    City of Hope, United States

    6 publications · 961 citations

    6

    h-index

  4. SG
    Supriya G. Mohile

    University of Rochester Medical Center, United States

    6 publications · 877 citations

    6

    h-index

  5. HD
    Heidi D. Klepin

    Wake Forest University, United States

    6 publications · 916 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. Journal of Geriatric Oncology

    10 publications · 430 citations

    10

    h-index

  2. Journal of Clinical Oncology

    9 publications · 1.1K citations

    9

    h-index

  3. Cancer

    9 publications · 937 citations

    9

    h-index

  4. British Journal of Cancer

    BJC · 7 publications · 344 citations

    7

    h-index

  5. PubMed

    Repository · 5 publications · 373 citations

    5

    h-index

1–5