Cervical Cancer Risk Factors from 858 Patients in Venezuela

858 patient records from 'Hospital Universitario de Caracas' in Caracas, Venezuela, comprise this dataset for multilabel classification. It includes demographic information, habits, and historic medical records, collected by Kelwin Fernandes, Jaime S. Cardoso, and Jessica Fernandes. Several patients decided not to answer some questions, resulting in missing values.

Use Cases

• Train a binary classifier to predict biopsy results based on demographic and behavioral risk factors.
• Perform feature importance analysis to identify key predictors (e.g., STDs, hormonal contraceptives) for cervical dysplasia.
• Develop a multilabel classification model using the four original target variables (Hinselmann, Schiller, Citology, Biopsy).
• Analyze the correlation between specific sexually transmitted diseases (STDs) and cervical cancer diagnosis.

Strengths

• Contains records for 858 patients, providing a substantive sample size for analysis.
• Includes a wide range of features covering demographics, sexual history, pregnancies, smoking, contraceptive use, and specific STD diagnoses.
• Target variable 'Class' is logically derived from four diagnostic tests, simplifying a key binary classification task.

Limitations

• Row count for the derived dataset with the 'Class' column is unknown, which may limit suitability assessment.
• Missing values are present due to patient privacy concerns, which may require imputation or affect model training.
• Last update date is unknown; freshness unverified.

Provenance

Source

Hospital Universitario de Caracas, Caracas, Venezuela; authors Kelwin Fernandes, Jaime S. Cardoso, Jessica Fernandes.

Collection Method

Collected at the hospital, comprising patient demographic information, habits, and historic medical records.

Time Range

null

Freshness

unknown

Geography

Caracas, Venezuela