The Allopathy Medicine Recommendation System is a machine learning-based tool designed to assist healthcare professionals in making informed decisions about prescribing allopathic medicines. By analyzing patient data and leveraging evidence-based recommendations, this system aims to improve clinical decision-making and patient care outcomes.
- Provides evidence-based recommendations for allopathic medicines based on patient diseases.
- Enhances clinical decision-making for healthcare professionals.
- Improves patient care outcomes by offering personalized treatment suggestions.
To install and run the Allopathy Medicine Recommendation System locally, follow these steps:
-
Clone the repository:
git clone https://github.com/kishankumar1328/allopathy-medicine-recommendation.git
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Install dependencies:
pip install -r requirements.txt
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Run the Streamlit app:
streamlit run app.py
Once the Streamlit app is running, open it in your browser and follow these steps:
- Enter the diseases of the patient in the text input field, separated by commas.
- Click on the "Get Recommendations" button.
- View the top recommended medicines for the entered diseases.
You can also access the live demo of the app
Contributions to the Allopathy Medicine Recommendation System are welcome! To contribute:
- Fork the repository.
- Create a new branch (
git checkout -b feature/new-feature). - Make your changes and commit them (
git commit -am 'Add new feature'). - Push to the branch (
git push origin feature/new-feature). - Create a new Pull Request.
This project is licensed under the Apache License 2.0. See the LICENSE file for details.
- Special thanks to Streamlit for providing an excellent framework for building interactive web applications with Python.
For questions or inquiries about the Allopathy Medicine Recommendation System, please contact kishankumar1328.