The Synthetic Leukemia Risk Dataset is designed for educational and research purposes to analyze health-related factors contributing to leukemia risk. It provides anonymized, synthetic data on individuals’ medical history, lifestyle, and blood test results.

Dataset Features

• Age: Age of the individual.
• Gender: Gender of the individual (Male/Female).
• Country: Country of residence.
• WBC_Count: White Blood Cell count.
• RBC_Count: Red Blood Cell count.
• Platelet_Count: Platelet count per unit volume.
• Hemoglobin_Level: Level of hemoglobin in the blood.
• Bone_Marrow_Blasts: Percentage of blasts in the bone marrow.
• Genetic_Mutation: Presence of genetic mutations linked to leukemia (Yes/No).
• Family_History: Family history of leukemia (Yes/No).
• Smoking_Status: History of smoking (Yes/No).
• Alcohol_Consumption: History of alcohol consumption (Yes/No).
• Radiation_Exposure: Prior exposure to radiation (Yes/No).
• Infection_History: History of infections (Yes/No).
• BMI: Body Mass Index.
• Chronic_Illness: Presence of chronic diseases (Yes/No).
• Immune_Disorders: Presence of immune system disorders (Yes/No).
• Ethnicity: Ethnic group of the individual.
• Socioeconomic_Status: Economic status of the individual (Low/Medium/High).
• Urban_Rural: Whether the individual resides in an urban or rural area.
• Leukemia_Status: Leukemia diagnosis prediction (Positive/Negative).

Distribution

Usage

This dataset can be used for the following applications:

• Leukemia Risk Prediction: Build models to predict leukemia status based on medical and lifestyle factors.
• Health Behavior Analysis: Study correlations between lifestyle factors and leukemia risk.
• Medical Research: Explore associations between genetic, environmental, and clinical factors with leukemia.
• Preventative Healthcare: Identify key predictors for early detection and risk assessment.
• Policy and Decision Making: Provide insights into population health trends and guide public health initiatives.

Coverage

This synthetic dataset is anonymized and adheres to data privacy standards. It represents diverse demographics and health profiles, enabling broad applications in healthcare research and analysis.

License

CC0 (Public Domain)

Who Can Use It

• Data Scientists and Machine Learning Practitioners: For classification tasks related to leukemia risk prediction.
• Healthcare Researchers: To study risk factors and the prevalence of leukemia.
• Public Health Professionals: For insights into population health trends and preventative care.
• Educators and Students: As a teaching resource for analyzing health-related datasets and building predictive models.