Stroke Prediction Dataset

FilesSizeFormatCreatedUpdatedLicenseSource
1317 kBcsv5 months agoKaggle

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

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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

  1. id: unique identifier
  2. gender: "Male", "Female" or "Other"
  3. age: age of the patient
  4. hypertension: 0 if the patient doesn't have hypertension, 1 if the patient has hypertension
  5. heart_disease: 0 if the patient doesn't have any heart diseases, 1 if the patient has a heart disease
  6. ever_married: "No" or "Yes"
  7. work_type: "children", "Govt_jov", "Never_worked", "Private" or "Self-employed"
  8. Residence_type: "Rural" or "Urban"
  9. avg_glucose_level: average glucose level in blood
  10. bmi: body mass index
  11. smoking_status: "formerly smoked", "never smoked", "smokes" or "Unknown"*
  12. 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

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