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https://github.com/santhosh-2901/thyroid_prediction
"Machine learning project to predict thyroid diseases based on patient data."
https://github.com/santhosh-2901/thyroid_prediction
cassandra data-science flask machine-learning thyroid-disease-detection
Last synced: 14 days ago
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"Machine learning project to predict thyroid diseases based on patient data."
- Host: GitHub
- URL: https://github.com/santhosh-2901/thyroid_prediction
- Owner: santhosh-2901
- Created: 2024-07-12T12:50:01.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-07-12T13:27:27.000Z (7 months ago)
- Last Synced: 2024-11-19T22:49:05.106Z (3 months ago)
- Topics: cassandra, data-science, flask, machine-learning, thyroid-disease-detection
- Language: Jupyter Notebook
- Homepage:
- Size: 1.06 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Thyroid Prediction
This project uses machine learning to predict thyroid disorders based on medical data. The model is trained to classify patients into different thyroid conditions using various features.
## Table of Contents
- [Description](#description)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Acknowledgments](#acknowledgments)
- [Contact](#contact)
## Description
The Thyroid Prediction project utilizes a Random Forest Classifier to diagnose thyroid disorders. The web application is built using Flask and provides an interface for users to input medical data and receive predictions about thyroid conditions.
## Installation
Clone this repository to your local machine or download the ZIP file.
```bash
git clone https://github.com/santhosh-2901/thyroid_prediction.git
```
Navigate to the project directory.
```bash
cd thyroid_prediction
```
Install the required Python dependencies.
```bash
pip install -r requirements.txt
```
## Usage
### Running the Flask App
1. Start the Flask app.
```bash
python app.py
```
2. Open your web browser and navigate to [http://localhost:8000](http://localhost:8000) to access the web app.
### Using the Web App
1. Enter the values for the medical features as prompted in the form.
2. Click on the "Predict" button to generate a prediction about whether the user has a thyroid disorder.
3. The prediction result will be displayed on the web page.
## Contributing
If you would like to contribute to this project, you can follow these steps:
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
```bash
git checkout -b feature/your-feature-name
```
3. Make your changes and commit them with descriptive commit messages.
```bash
git commit -m "Add feature X"
```
4. Push your changes to your forked repository.
```bash
git push origin feature/your-feature-name
```
5. Open a pull request in this repository and provide a detailed description of your changes.
## License
This project is licensed under the MIT License.
## Acknowledgments
This project was developed as part of an AI & Data Science course. Special thanks to the dataset providers and all contributors.
## Contact
If you have any questions, suggestions, or feedback, please feel free to contact santhoshkumar[[email protected]].
We hope you find this web app useful!
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