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Cardio-Vascular-Disease

ML Challenge 2


The dataset is provided by iNeuron

The dataset consists of over 68k rows and about 12 columns

Problem statement

To build an application to classify the patients to be healthy or suffering from cardiovascular disease based on the given attributes.

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.

Citation

License Unknown
Domain Public
Dataset owner Svetlana Ulianova
Dataset created 2019-01-20