Cardiovascular-Disease-dataset
OpenML dataset with id 45547
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22116515/Cardiovascular-Disease-dataset.arff
Upload date: 2 June 2023
Dataset Characteristics
Number of classes: 2
Number of features: 12 (numeric: 5, symbolic: 7 and in total binary: 5 )
Number of instances: 70,000
Number of instances with missing values: 0
Number of missing values: 0
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.
Notes by Uploader to OpenML
- Gender: 1 - women, 2 - men
- There is no information available on Kaggle where this data was collected.
This page was built for dataset: Cardiovascular-Disease-dataset
