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Synthetic Brain Tumor Tumour Dataset
Patient Health Records & Digital Health
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£179.99
About
The Synthetic Brain Tumor Dataset is designed for educational and research purposes to analyze health-related factors contributing to brain tumor classification. It provides anonymized, synthetic data on individuals’ tumor characteristics and demographic information.
Dataset Features
- tumor_type: Type of brain tumor (e.g., Glioblastoma, Oligodendroglioma, Astrocytoma, Meningioma).
- location: Location of the tumor in the brain (e.g., Frontal Lobe, Parietal Lobe, Cerebellum).
- size_cm: Size of the tumor in centimeters.
- grade: Tumor grade based on severity (I-IV).
- patient_age: Age of the patient (in years).
- gender: Gender of the patient (Male/Female).
Distribution
Usage
This dataset can be used for the following applications:
- Brain Tumor Classification: Build models to predict tumor type based on its characteristics.
- Medical Imaging Analysis: Study tumor size, location, and grade distributions.
- Health Risk Assessment: Explore correlations between age, gender, and tumor characteristics.
- Preventative Healthcare: Identify key predictors for early detection and treatment strategies.
- 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 tumor 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 brain tumor prediction and risk analysis.
- Healthcare Researchers: To study risk factors and prevalence of brain tumors in a synthetic population.
- 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.
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