Stroke Prediction Dataset

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. Each row in the data provides relavant information about the patient.Attribute Information1) id: unique identifier2) gender: "Male", "Female" or "Other"3) age: age of the patient4) hypertension: 0 if the patient doesn't have hypertension, 1 if the patient has hypertension5) heart_disease: 0 if the patient doesn't have any heart diseases, 1 if the patient has a heart disease6) 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 blood10) bmi: body mass index11) 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 patientAcknowledgements(Confidential Source) - Use only for educational purposesIf you use this dataset in your research, please credit the author.