Breast Cancer Coimbra Data Set

Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls.

Data Set Information:

There are 10 predictors, all quantitative, and a binary dependent variable, indicating the presence or absence of breast cancer. The predictors are anthropometric data and parameters which can be gathered in routine blood analysis. Prediction models, if accurate, can potentially be used as a biomarker of breast cancer.

Attribute Information:

Age (years), BMI (kg/m2), Glucose (mg/dL), Insulin (µU/mL), HOMA, Leptin (ng/mL), Adiponectin (µg/mL), Resistin (ng/mL), MCP-1(pg/dL),
classification: 1=Healthy controls, 2=Breast Cancer Patients

Data Source:

"Using Resistin, Glucose, Age and BMI and PruningFuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer"
Miguel Patrício, José Pereira, Joana Crisóstomo, Paulo Matafome, Manuel Gomes, Raquel Seiça & Francisco Caramelo
BMC Cancer volume 18, Article number: 29 (2018)

├── [7.5K May 30 2018] dataR2.csv
├── [ 18K May 30 2018] dataR2.xlsx