Cardiovascular Disease Prediction Dataset

Cardiovascular Disease Prediction Dataset for building machine learning models using patient health indicators such as blood pressure, cholesterol, and lifestyle factors. Suitable for classification, EDA, and healthcare AI projects. 🚨 Why This Dataset Matters Cardiovascular diseases (CVDs) remain one of the leading causes of death globally. Many of these conditions develop silently over time and only become noticeable when complications arise. Early detection can save lives. This dataset was created to help data scientists, researchers, and students explore how machine learning can be used to identify individuals at risk based on common health indicators. If you’re looking to work on a problem that is both practical and impactful, this dataset gives you that opportunity. 🔍 What’s Inside This dataset contains structured and anonymized patient health records designed for predictive modeling. Each row represents a single patient and includes a combination of: 🧑 Demographic data (e.g., age, gender) 🩺 Vital signs (e.g., blood pressure) 🧪 Clinical measurements (e.g., cholesterol, glucose levels) 🚬 Lifestyle factors (e.g., smoking, alcohol consumption) 🏃 Activity levels (physical activity indicators) 🎯 The Objective The goal is to build a model that can answer: Can we accurately predict whether a patient has cardiovascular disease? 🧠 Problem Type Task: Binary Classification Target Variable: target 0 → No cardiovascular disease 1 → Presence of cardiovascular disease 📊 Dataset Features Typical features included in the dataset: Age Gender Height Weight Systolic Blood Pressure Diastolic Blood Pressure Cholesterol Level Glucose Level Smoking Status Alcohol Intake Physical Activity ⚠️ Disclaimer This dataset is intended strictly for educational and research purposes only. It should not be used for medical diagnosis or clinical decision-making. 🔐 Data Privacy All data is anonymized No personally identifiable information (PII) is included Designed to follow ethical data-sharing practices 🤝 Contribution & Usage If you use this dataset in your work: Share your results Publish your notebook Give appropriate credit