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+# stroke_prediction
+Synthetically generated dataset containing Stroke Prediction metrics
+
+A dataset containing all the required fields to build robust AI/ML models to detect Stroke
+
+15,000 records & 22 fields of stroke prediction dataset, containing:
+
+1. 'Patient ID',
+2. 'Patient Name',
+3. 'Age',
+4. 'Gender',
+5. 'Hypertension',
+6. 'Heart Disease',
+7. 'Marital Status',
+8. 'Work Type',
+9. 'Residence Type',
+10. 'Average Glucose Level',
+11. 'Body Mass Index (BMI)',
+12. 'Smoking Status',
+13. 'Alcohol Intake',
+14. 'Physical Activity',
+15. 'Stroke History',
+16. 'Family History of Stroke',
+17. 'Dietary Habits',
+18. 'Stress Levels',
+19. 'Blood Pressure Levels',
+20. 'Cholesterol Levels',
+21. 'Symptoms',
+22. 'Diagnosis'