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:
- 'Patient ID',
- 'Patient Name',
- 'Age',
- 'Gender',
- 'Hypertension',
- 'Heart Disease',
- 'Marital Status',
- 'Work Type',
- 'Residence Type',
- 'Average Glucose Level',
- 'Body Mass Index (BMI)',
- 'Smoking Status',
- 'Alcohol Intake',
- 'Physical Activity',
- 'Stroke History',
- 'Family History of Stroke',
- 'Dietary Habits',
- 'Stress Levels',
- 'Blood Pressure Levels',
- 'Cholesterol Levels',
- 'Symptoms',
- 'Diagnosis'