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Overview
Health ML is a project aimed at leveraging Machine Learning (ML) to revolutionize healthcare and diagnostics. The system applies state-of-the-art AI/ML techniques to analyze medical data, predict health outcomes, and assist in the early detection of critical conditions such as strokes, heart diseases, and more.
This project aspires to enhance healthcare delivery, improve patient outcomes, and provide insights into disease patterns through advanced data analysis.
Features
Predictive Analytics: Early detection of medical conditions through data-driven insights.
Diagnostic Assistance: Classification models to identify health risks and conditions.
Customizable Pipelines: Modular ML pipelines tailored for different datasets and health conditions.
Real-Time Monitoring: Integration with wearable devices for continuous health monitoring.
Visualization: Easy-to-understand visualizations of predictions and insights for medical professionals.
Prerequisites
Before running the project, ensure you have the following installed:
Programming Language: Python 3.8 or higher
Libraries:
pandas
numpy
scikit-learn
tensorflow or pytorch
matplotlib
seaborn
Environment: Jupyter Notebook or a Python IDE