https://github.com/kasraskari/choose-drug

choosing the right medicine for the patient
https://github.com/kasraskari/choose-drug

decision-tree jupyter-notebook machine-learning python

Last synced: about 1 month ago
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choosing the right medicine for the patient

• Host: GitHub
• URL: https://github.com/kasraskari/choose-drug
• Owner: KasrAskari
• Created: 2024-06-10T14:45:58.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-11-19T09:00:48.000Z (3 months ago)
• Last Synced: 2024-11-19T10:18:17.168Z (3 months ago)
• Topics: decision-tree, jupyter-notebook, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 40 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Choose-Drug  

## Overview  

This project focuses on helping to choose the right drug for a patient using a **Decision Tree Classifier**. It predicts the most suitable medication based on patient data. The dataset used in this project is sourced from Kaggle and contains information about various drugs and their uses.

## Features  

- **Drug Recommendation:** Predicts the most suitable medication for patients based on features like age, gender, and symptoms.  

- **Machine Learning Model:** Implements a decision tree classifier for accurate predictions.  

- **Dataset:** Uses the `drug200` dataset for training the model.  

## Project Structure  

```

Choose-Drug/

├── drug200.csv            # Dataset used for training the model

├── Choose_Drug.ipynb      # Jupyter notebook containing the implementation and analysis

└── README.md              # Project documentation

```

## Technologies Used  

- **Programming Language:** Python  

- **Libraries:**  

  - pandas  

  - scikit-learn  

  - matplotlib  

  - seaborn  

## Acknowledgments  

- Dataset: [Kaggle - drug200](https://www.kaggle.com/datasets/taranomtorabi/drug200)

## License  

This project is licensed under the MIT License.