Drug-Prediction

# Drug Prediction App

## Overview

This application leverages a machine learning model to predict the most suitable drug for a patient based on their clinical characteristics. It's built with Python and Streamlit, offering a user-friendly interface for seamless interaction.

## Installation

1. Clone the repository:

   git clone https://github.com/maskedwolf4/Drug-Prediction.git

2. Create a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # (Linux/macOS)
   venv\Scripts\activate.bat  # (Windows)

3. Install dependencies:

   pip install -r requirements.txt

## Usage

1. Run the app:

   streamlit run dpapp.py

2. Enter patient information:

   • Age
   • Na_to_K ratio
   • Sex (M or F)
   • Blood pressure (LOW, NORMAL, or HIGH)
   • Cholesterol status (Yes or No)

3. Click "Predict Drug" to view the recommended drug.

## Model Details

• Model type: Random Forest Classifier
• Features:
  • Age
  • Na_to_K ratio
  • Sex (M or F)
  • Blood pressure (LOW, NORMAL, or HIGH)
  • Cholesterol status (Yes or No)
• Performance metrics: Accuracy = 1

## Disclaimer

• This app is intended for educational and demonstration purposes only.
• It should not be used for actual medical decision-making.
• Always consult with a qualified healthcare professional for medical advice.

## Contribute

• Feel free to contribute to this project by submitting issues or pull requests.

## License

• This project is licensed under (Specify the license type, e.g., MIT License).