Dataset Description

The dataset contains input features (Objective, Examination, Subjective) and a target variable indicating the presence or absence of cardiovascular disease. For our hypothetical trial, we will add a TreatmentGroup column.

Feature Description	Category	Variable Name	Data Type	Coding / Unit
Age	Objective Feature	age	int	days
Height	Objective Feature	height	int	cm
Weight	Objective Feature	weight	float	kg
Gender	Objective Feature	gender	categorical code	(e.g., 1: male, 2: female)
Systolic blood pressure	Examination Feature	ap_hi	int	mmHg
Diastolic blood pressure	Examination Feature	ap_lo	int	mmHg
Cholesterol	Examination Feature	cholesterol	categorical	1: normal, 2: above normal, 3: well above normal
Glucose	Examination Feature	gluc	categorical	1: normal, 2: above normal, 3: well above normal
Smoking	Subjective Feature	smoke	binary	(e.g., 0: no, 1: yes)
Alcohol intake	Subjective Feature	alco	binary	(e.g., 0: no, 1: yes)
Physical activity	Subjective Feature	active	binary	(e.g., 0: no, 1: yes)
Presence or absence of cardiovascular disease	Target Variable	cardio	binary	(e.g., 0: no, 1: yes)

It can be clearly seen that patients with CVD have higher cholesterol and blood glucose level. And, generally speaking less active.

Input Features (Baseline & Examination)

These variables are measured at baseline or during examination periods.

👤 Objective Features

• PatientID (Hypothetical): Unique identifier for each patient.

• Age: Age | int (days)

• Height: Height | int (cm)

• Weight: Weight | float (kg)

• Gender: Gender | categorical code (e.g., 1 for male, 2 for female, or similar coding)

• TreatmentGroup (Hypothetical, added for the trial): Assigned treatment (CardioGuard or Placebo). This is the key variable for assessing drug efficacy.

🩺 Examination Features

• ap_hi: Systolic blood pressure | int

• ap_lo: Diastolic blood pressure | int

• cholesterol: Cholesterol level | 1: normal, 2: above normal, 3: well above normal (categorical)

• gluc: Glucose level | 1: normal, 2: above normal, 3: well above normal (categorical)

📝 Subjective Features

• smoke: Smoking | binary (0: no, 1: yes)

• alco: Alcohol intake | binary (0: no, 1: yes)

• active: Physical activity | binary (0: no, 1: yes)

Target Variable

This variable indicates the primary outcome of interest.

❤️ Cardiovascular Disease Status

• cardio: Presence or absence of cardiovascular disease | binary (0: no, 1: yes)