48 lines
1.6 KiB
Markdown
48 lines
1.6 KiB
Markdown
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# HSMA Data Science and Analytics SS2024
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## ECG Data klassifier and segmentation
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[This Project aims to klassify ... and semgment ... ECG Data]
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## Table of Contents
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- [About](#about)
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- [Getting Started](#getting-started)
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- [Usage](#usage)
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- [Progress](#progress)
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- [Contributing](#contributing)
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- [License](#license)
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## About
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[Provide a brief overview of the project, including its purpose and any relevant background information.]
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## Getting Started
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[Instructions on how to get the project up and running on a local machine. Include prerequisites, installation steps, and any other necessary setup.]
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### Prerequisites
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[List any software or tools that need to be installed before running the project.]
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### Installation
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[Step-by-step guide on how to install the project.]
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## Usage
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[Provide examples and instructions for using the project. Include any relevant code snippets or screenshots.]
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## Progress
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- Data was searched and found at : https://doi.org/10.13026/wgex-er52
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- Data was cleaned:
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- Docker Container with MongoDB, because 10 GB and many arrays
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- Diagnosis from String to list
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- Data filtered to contain only healthy and the needed diagnosis data
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## Contributing
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[Explain how others can contribute to the project. This might include guidelines for reporting bugs, submitting enhancements, or proposing new features.]
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## License
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[Specify the license under which the project is distributed. Include any additional terms or conditions.]
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## Acknowledgements
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[Optional section to thank individuals or organizations that have contributed to the project.]
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## Contact
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[Provide contact information for inquiries or support.]
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