cancer: Breast cancer dataset

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Description

A dataset involves 9 quantitative predictors and a binary variable, indicating the present or absent of breast cancer.

Usage

data(cancer)

Format

A data frame with 116 rows and 10 variables:

Age

Age (years)

BMI

BMI (kg/m2)

Glucose

Glucose (mg/dL)

Insulin

Insulin (µU/mL)

HOMA

Optimal cut-off value for homeostasis model assessment(HOMA) index of insulin

Leptin

Leptin (ng/mL)

Adiponectin

Adiponectin (µg/mL)

Resistin

Resistin (ng/mL)

MCP.1

MCP-1(pg/dL)

Classification

indicating the presence or absence of breast cancer. 1=Health controls;2=Patients

Source

https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Coimbra#

References

Patrício, M., Pereira, J., Crisóstomo, J., Matafome, P., Gomes, M., Seiça, R., & Caramelo, F. (2018). Using Resistin, glucose, age and BMI to predict the presence of breast cancer. BMC Cancer, 18(1).

TreeDiagram documentation built on March 27, 2021, 9:09 a.m.