---
datapackage:
  title: Stroke Prediction Dataset
  description: 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. 
  updated: 2024-07-25
  sources: 
  - path: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset
    title: Kaggle
  resources:
  - name: healthcare-dataset-stroke-data
    title: Stroke prediction dataset
    description: Each row in the data provides relavant information about the patient.
    lastModified: 2024-07-16
    path: healthcare-dataset-stroke-data.csv
---

## 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