Description

This dataset provides a collection of patient health records, including key medical conditions, lifestyle habits, and biometric indicators related to stroke occurrence. It includes details on age, gender, BMI, average glucose levels, hypertension, heart disease, diabetes status, smoking status, and socioeconomic status (SES).

This dataset can be used for predictive modeling, healthcare analytics, and medical research to identify patterns in stroke risk factors. It is particularly useful for machine learning models focused on stroke prediction and cardiovascular health analysis.

Potential Use Cases

• Machine Learning models for stroke prediction
• Exploratory Data Analysis (EDA) on cardiovascular health metrics
• Identifying risk factors contributing to stroke occurrence
• Correlation analysis between lifestyle, biometric data, and stroke
• Building classification models for healthcare applications