breast-cancer-coimbra
OpenML dataset with id 42900
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/22045531/breast-cancer-coimbra.arff
Upload date: 19 May 2021
Dataset Characteristics
Number of classes: 0
Number of features: 10 (numeric: 10, symbolic: 0 and in total binary: 0 )
Number of instances: 116
Number of instances with missing values: 0
Number of missing values: 0
Author: Miguel Patricio, Jose Pereira, Joana Crisostomo, Paulo Matafome, Raquel Seica, Francisco Caramelo Source: UCI - 2018 Please cite: [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 Paper] - 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
This page was built for dataset: breast-cancer-coimbra
