Arrhythmia, the leading cardiovascular disease globally, poses significant risks to cardiac health. This project leverages the power of Deep Neural Networks (DNNs) to:
- 🔍 Identify cardiac health risks.
- 📊 Estimate the severity of arrhythmia.
- 🩺 Learn patterns within the dataset to make accurate predictions about a patient's heart condition.
✨ This repository is a step towards leveraging AI in healthcare, offering predictive insights to help mitigate life-threatening risks.
- 📈 Deep Learning Model: Built with cutting-edge neural network architectures.
- 💾 Dataset: Utilizes arrhythmia data to train, validate, and test the model.
- 🔬 Insights: Learn patterns from data for risk estimation.
- 🌍 Real-World Application: Designed to assist healthcare professionals with early detection.
For an in-depth explanation, check out the Medium Article.