Echocardiogram dataset for survival analysis

Dataset Documentation: Extended UCI Echocardiogram Dataset
1. Overview
The Extended UCI Echocardiogram Dataset is a synthetic dataset based on the original UCI Echocardiogram dataset. It comprises 100,000 samples and 17 variables, representing patients who either survived or died within one year after a heart attack. The dataset was expanded using statistical techniques to maintain realistic variability while preserving the integrity of the original dataset's patterns. It is designed for survival analysis, predictive modelling, and clinical decision-making research.

2. Dataset Purpose
The dataset is intended for:

Survival Analysis: Predicting the likelihood of survival post-heart attack.

Feature Importance Analysis: Identifying key clinical predictors of survival.

Machine Learning Model Development: Training and evaluating predictive models for survival outcomes.

Clinical Research: Exploring relationships between clinical variables and patient outcomes.

3. Variables
The dataset contains 17 variables, including 16 features and one target variable. Below is a detailed description of each variable:

Features
Survival:

Type: Float

5. Dataset Statistics
Number of Rows: 100,000

Number of Columns: 17

Target Variable Distribution:

Survived (alive_at_one = 1): ~30.32%

Deceased (alive_at_one = 0): ~69.68%