Synthetic Colon Cancer Patient Treatment Dataset

Dataset Features

• ID: Unique identifier for each patient.
• Study: Study or trial group identifier.
• RX (Treatment): Type of treatment received (e.g., Lev+5FU, Obs).
• Sex: Biological sex of the patient (M/F).
• Age: Age of the patient at diagnosis (in years).
• Obstruct: Indicates if the tumor caused bowel obstruction (Yes/No).
• Perfor: Indicates if the tumor caused bowel perforation (Yes/No).
• Adhere: Indicates tumor adhesion to surrounding structures (Yes/No).
• Nodes: Number of positive lymph nodes.
• Status: Vital status of the patient (Alive/Dead).
• Differ (Differentiation): Histological differentiation of the tumor (e.g., Moderate, Poor).
• Extent: Extent of disease spread (e.g., Distant, Regional).
• Surg: Surgical intervention status (e.g., Surgery, No Surgery).
• Node4: Binary flag indicating whether 4 or more nodes are involved (Yes/No).
• Time: Survival time in days.
• Etype (Event Type): Classification of death or survival outcome (e.g., Cancer Death, Other Death).

Distribution

Usage

• Treatment Outcome Research: Analyze the relationship between treatment types and patient survival.
• Predictive Modeling: Develop survival prediction models based on clinical and pathological features.
• Clinical Decision Support: Evaluate which combinations of factors influence prognosis, aiding evidence-based treatment planning.
• Educational Purposes: Enable students and researchers to explore real-world-like oncology datasets with survival outcomes.

Coverage

License

Who Can Use It

• Medical Researchers and Oncologists: To evaluate treatment effects and prognostic indicators.
• Data Scientists: To build and test survival analysis models and classification algorithms.
• Healthcare Educators and Students: As a comprehensive dataset for studying outcomes-based oncology data.