Stroke Prediction Dataset
| Files | Size | Format | Created | Updated | License | Source |
|---|---|---|---|---|---|---|
| 1 | 317 kB | csv | 5 months ago | Kaggle |
This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status.
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Data Files
| File | Description | Size | Last modified | Download |
|---|---|---|---|---|
healthcare-dataset-stroke-data | Each row in the data provides relavant information about the patient. | 317 kB | healthcare-dataset-stroke-data |
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Stroke prediction dataset
Context
According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths.
Attribute Information
- id: unique identifier
- gender: "Male", "Female" or "Other"
- age: age of the patient
- hypertension: 0 if the patient doesn't have hypertension, 1 if the patient has hypertension
- heart_disease: 0 if the patient doesn't have any heart diseases, 1 if the patient has a heart disease
- ever_married: "No" or "Yes"
- work_type: "children", "Govt_jov", "Never_worked", "Private" or "Self-employed"
- Residence_type: "Rural" or "Urban"
- avg_glucose_level: average glucose level in blood
- bmi: body mass index
- smoking_status: "formerly smoked", "never smoked", "smokes" or "Unknown"*
- stroke: 1 if the patient had a stroke or 0 if not
Note"Unknown" in smoking_status means that the information is unavailable for this patient