https://github.com/shreyazh/respire
To deal with Respiratory Challenges
https://github.com/shreyazh/respire
machine-learning matplotlib numpy pandas pillow python scikit-learn seaborn
Last synced: 2 months ago
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To deal with Respiratory Challenges
- Host: GitHub
- URL: https://github.com/shreyazh/respire
- Owner: shreyazh
- License: mit
- Created: 2024-12-15T06:19:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-08T11:30:32.000Z (over 1 year ago)
- Last Synced: 2025-03-08T12:25:22.228Z (over 1 year ago)
- Topics: machine-learning, matplotlib, numpy, pandas, pillow, python, scikit-learn, seaborn
- Language: Python
- Homepage: https://youtu.be/YV0klYNzNmU
- Size: 223 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Respiratory Diseases Solutions App
This Streamlit application is designed to provide innovative solutions to challenges related to respiratory diseases. It was developed as part of a hackathon initiative to tackle issues in respiratory health using technology.
**CLICK THE IMAGE BELOW TO WATCH THE DEMO**
[](https://youtu.be/YV0klYNzNmU)
## Features
1. **FibroPred: Pulmonary Fibrosis Prediction**
- Upload datasets to predict pulmonary fibrosis outcomes.
- Select features and target columns for predictive modeling.
- Evaluate the model using accuracy, precision, recall, and F1 score.
- Visualize feature importance using interactive charts.
2. **QResp: QR Therapeutic Decision Tool**
- Enter patient details such as age, symptoms, and medical history.
- Generate QR codes containing patient information to aid in therapeutic decision-making.
3. **Data Visualization**
- Upload datasets for analysis.
- Generate correlation heatmaps to explore relationships between variables.
- Create scatter plots to analyze data trends.
4. **Patient Symptom Tracker**
- Log patient symptoms and medical details over time.
- Save logs to a CSV file for record-keeping.
- View and analyze logged data within the app.
## Installation
1. Clone this repository:
```bash
git clone https://github.com/shreyazh/Respire
cd respiratory-diseases-app
```
2. Install required dependencies:
```bash
pip install -r requirements.txt
```
3. Run the app:
```bash
streamlit run app.py
```
## Requirements
- Python 3.7+
- Streamlit
- Pandas
- NumPy
- scikit-learn
- Matplotlib
- Seaborn
- qrcode
- Pillow
Install all dependencies using:
```bash
pip install -r requirements.txt
```
## Usage
1. Start the app using `streamlit run app.py`.
2. Navigate through the sidebar to access different modules:
- **Home**: Overview of the application and challenges.
- **FibroPred**: Train and evaluate predictive models for pulmonary fibrosis.
- **QResp**: Generate QR codes for patient data.
- **Data Visualization**: Explore datasets using heatmaps and scatter plots.
- **Patient Symptom Tracker**: Log and view patient symptoms over time.
## Screenshots
### Home Page
### FibroPred
### Data Visualization
## Contributing
We welcome contributions! Please follow these steps:
1. Fork the repository.
2. Create a new branch (`feature/your-feature-name`).
3. Commit your changes.
4. Push the branch and submit a pull request.
## License
This project is licensed under the MIT License. See the `LICENSE` file for details.
## Acknowledgments
This project was developed for the Respiratory Diseases Hackathon. Special thanks to the organizers and contributors for their support and collaboration.