Stroke Prediction.zip
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' Data Explorer Version 4 (2.88 MB)
README.md
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Additional Information
| Field | Value |
|---|---|
| Data last updated | 8 October 2024 |
| Metadata last updated | 8 October 2024 |
| Created | 8 October 2024 |
| Format | ZIP |
| License | Creative Commons Attribution |
| Datastore active | False |
| Has views | False |
| Id | ad3c7fc7-8360-4e92-b2d4-77fab6c3bc21 |
| Mimetype | application/zip |
| Package id | 3d50fc24-f454-4aa2-9954-6f4c521aad5b |
| Position | 0 |
| Size | 627.8 KiB |
| State | active |
| Url type | upload |