Author: Miguel Patricio, Jose Pereira, Joana Crisostomo, Paulo Matafome, Raquel Seica, Francisco Caramelo
Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Coimbra) - 2018
Please cite: [Paper](doi:10.1186/s12885-017-3877-1 Heart failure clinical records dataset
Breast cancer coimbra dataset
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 based on these predictors, if accurate, can potentially be used as a biomarker of breast cancer.
### Attribute information
Quantitative Attributes:
- Age (years)
- BMI (kg/m2)
- Glucose (mg/dL)
- Insulin (microgram/mL)
- HOMA
- Leptin (ng/mL)
- Adiponectin (microg/mL)
- Resistin (ng/mL)
- MCP-1(pg/dL)
Labels:
1. Healthy controls
2. Patients