About Dataset

Context

According to the World Health Organization (WHO), stroke is the second leading cause of death globally, accounting for approximately 11% of total deaths.

This dataset is designed to help predict whether a patient is likely to have a stroke, based on input parameters such as gender, age, comorbid conditions, and smoking status. Each row in the dataset contains relevant patient information that could be used in a classification model.

Attribute Information

1. id: Unique identifier
2. gender: "Male", "Female", or "Other"
3. age: Age of the patient
4. hypertension: 0 = No hypertension, 1 = Has hypertension
5. heart_disease: 0 = No heart disease, 1 = Has heart disease
6. ever_married: "No" or "Yes"
7. work_type: "children", "Govt_job", "Never_worked", "Private", or "Self-employed"
8. Residence_type: "Rural" or "Urban"
9. avg_glucose_level: Average blood glucose level
10. bmi: Body Mass Index
11. smoking_status: "formerly smoked", "never smoked", "smokes", or "Unknown"
12. stroke: 1 = Had a stroke, 0 = Did not have a stroke

Note: "Unknown" in smoking_status indicates missing or unavailable information for the patient.

Acknowledgements

(Confidential Source) — This dataset is intended for educational purposes only.
If you use this dataset in your research or projects, please credit the author.