Stroke Risk is a dataset for stroke risk analysis and prediction in the healthcare context. Built upon common clinical risk factors, this dataset includes demographic information, medical history, lifestyle factors, and key health indicators. It reflects the probability of stroke occurrence under different health and lifestyle conditions, aiming to support machine learning models in predicting and analyzing stroke risk, helping to identify key influencing factors, and thereby improving early screening and prevention capabilities.

Data fields:

• id: Represents the patient's unique identifier
• gender: Indicates gender (Male / Female / Other)
• age: indicates age
• hypertension: Indicates whether you have high blood pressure (0 = no, 1 = yes)
• heart_disease: Indicates whether you have heart disease (0 = no, 1 = yes)
• ever_married: Indicates whether the couple is married (Yes / No).
• work_type: Indicates the type of job (e.g., Private / Self-employed / Govt_job, etc.)
• Residence_type: Indicates the type of residence (Urban / Rural)
• avg_glucose_level: Represents the average blood glucose level
• BMI: Body Mass Index
• smoking_status: Indicates the smoking status (e.g., never / formerly / smokes, etc.)
• stroke: Indicates whether a stroke has occurred (0 = no, 1 = yes)