Heart attack analysis dataset

📄 Dataset Description

Title: Heart Attack Risk Prediction Dataset (Cleaned)File Name: heart_attack_data_cleaned.xlsRecords: Each row represents a patient’s medical profileRows: ~X (patients)Columns: ~Y (features and target variable)

🔍 Description:

This dataset contains anonymized medical records used to train and evaluate machine learning models that predict the risk of heart attacks in patients. It includes demographic, clinical, and lifestyle features collected from a real-world health setting (Maro Medical Center).

📊 Key Columns:

Age – Patient's age

Gender – Male/Female (encoded)

Cholesterol – Cholesterol level

Blood Pressure – Resting blood pressure

Fasting Blood Sugar – Yes/No

Max Heart Rate Achieved

ECG Results – Resting electrocardiographic results

Exercise-Induced Angina – Binary indicator

ST Depression – Depression induced by exercise

Number of Major Vessels

Thalassemia – Type of blood disorder

Heart_Attack_Risk – Target variable: 0 (No Risk), 1 (High Risk)

✅ Source:

Data processed as part of the project:“Heart Attack Risk Prediction using Ensemble Machine Learning”

📘 Colab Notebook

💻 GitHub Repository