心血管疾病数据集免费

资源介绍

# Data description There are 3 types of input features: - *Objective*: factual information; - *Examination*: results of medical examination; - *Subjective*: information given by the patient. Features: 1. Age | Objective Feature | age | int (days) 2. Height | Objective Feature | height | int (cm) | 3. Weight | Objective Feature | weight | float (kg) | 4. Gender | Objective Feature | gender | categorical code | 5. Systolic blood pressure | Examination Feature | ap_hi | int | 6. Diastolic blood pressure | Examination Feature | ap_lo | int | 7. Cholesterol | Examination Feature | cholesterol | 1: normal, 2: above normal, 3: well above normal | 8. Glucose | Examination Feature | gluc | 1: normal, 2: above normal, 3: well above normal | 9. Smoking | Subjective Feature | smoke | binary | 10. Alcohol intake | Subjective Feature | alco | binary | 11. Physical activity | Subjective Feature | active | binary | 12. Presence or absence of cardiovascular disease | Target Variable | cardio | binary | All of the dataset values were collected at the moment of medical examination.