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Breast Cancer Coimbra Data Set
Download: Data Folder, Data Set Description

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

Data Set Characteristics:  

Multivariate

Number of Instances:

116

Area:

Life

Attribute Characteristics:

Integer

Number of Attributes:

10

Date Donated

2018-03-06

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

5376


Source:

Miguel Patrício(miguelpatricio '@' gmail.com), José Pereira (jafcpereira '@' gmail.com), Joana Crisóstomo (joanacrisostomo '@' hotmail.com), Paulo Matafome (paulomatafome '@' gmail.com), Raquel Seiça (rmfseica '@' gmail.com), Francisco Caramelo (fcaramelo '@' fmed.uc.pt), all from the Faculty of Medicine of the University of Coimbra and also Manuel Gomes (manuelmgomes '@' gmail.com) from the University Hospital Centre of Coimbra


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 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 (µU/mL)
HOMA
Leptin (ng/mL)
Adiponectin (µg/mL)
Resistin (ng/mL)
MCP-1(pg/dL)

Labels:
1=Healthy controls
2=Patients


Relevant Papers:

[Web Link]
[Web Link]



Citation Request:

This dataset is publicly available for research. The details are described in [Patricio, 2018] - [Web Link].
Please include this citation if you plan to use this database:
[Patricio, 2018] 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). [Web Link]


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