Work

Supervised machine learning model to predict oncotype DX risk category in patients over age 50

Year: 2021

Type: article

Source: Breast Cancer Research and Treatment

DOI: 10.1007/s10549-021-06443-w

Authors: Kate R. Pawloski, Mithat Gonen, Hannah Y. Wen, Audree B. Tadros, Donna Thompson, Kelly Abbate, Monica Morrow, Mahmoud El-Tamer

Institution: Memorial Sloan Kettering Cancer Center

Language: English

Topic: Breast Cancer Treatment Studies

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute, National Institute of Environmental Health Sciences

Awards: Cancer Center Support Grant, Mount Sinai Center for Health and Environment Across the LifeSpan (HEALS)

OpenAlex ID: W3213008073

FWCI: 0.495

Cites: 31

Cited by: 11

Related to: 10