Synthetic Eye Cancer Patient Records Dataset

Dataset Features

• Age: Age of the patient at diagnosis (in years).
• Gender: Biological sex of the patient (Male/Female/Other).
• Cancer_Type: Type of eye cancer diagnosed (e.g., Lymphoma, Melanoma, Other).
• Laterality: Location of the cancer in the eye (Left, Right, Bilateral).
• Date_of_Diagnosis: Date when cancer was diagnosed.
• Stage_at_Diagnosis: Clinical stage at diagnosis (e.g., Stage I, Stage II, Stage III, Stage IV).
• Treatment_Type: Primary treatment modality (e.g., Surgery, Radiation, Chemotherapy).
• Surgery_Status: Whether surgery was performed (True/False).
• Radiation_Therapy: Duration or number of radiation therapy sessions (integer).
• Chemotherapy: Number of chemotherapy cycles administered (integer).
• Outcome_Status: Patient outcome (e.g., In Remission, Active, Deceased).
• Survival_Time_Months: Survival time after diagnosis (months).
• Genetic_Markers: Presence of genetic mutations or markers (e.g., BRAF Mutation), with some missing values.
• Family_History: Family history of cancer (True/False).
• Country: Patient's country of residence.

Distribution

Usage

• Cancer Research: Investigate relationships among demographics, clinical features, genetics, and treatment outcomes.
• Predictive Modeling: Build models to predict survival time, treatment response, or disease progression.
• Healthcare Analytics: Explore epidemiological trends by cancer type, stage, and geography.
• Educational Use: Provide realistic data for training in oncology data analysis and bioinformatics.

Coverage

License

Who Can Use It

• Oncologists and Medical Researchers: To study eye cancer patterns and outcomes.
• Data Scientists and Bioinformaticians: For developing predictive and survival models.
• Healthcare Educators and Students: As a detailed dataset for hands-on learning in oncology and medical data analysis.