Clinical Decision Support System (CDSS) Using Fuzzy Logic

This project implements a Clinical Decision Support System (CDSS) using fuzzy logic. The system evaluates clinical inputs, such as temperature, heart rate, and blood pressure, to suggest diagnostic decisions ranging from "Stable" to "Critical."

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Features

• Inputs:

  • Temperature (°F): Low, Normal, High.
  • Heart Rate (bpm): Bradycardia, Normal, Tachycardia.
  • Blood Pressure (mmHg): Low, Normal, High.

• Output:

  • Diagnosis levels: Stable, Alert, and Critical.

• Fuzzy Logic:

  • Uses fuzzy rules to interpret inputs and compute the diagnosis.

• Visualization:

  • Graphical representation of membership functions.
  • Visualization of the diagnosis process.

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Requirements

Make sure the following Python libraries are installed:

• numpy
• scikit-fuzzy
• matplotlib

You can install them using:

pip install numpy scikit-fuzzy matplotlib

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How to Run

1. Clone the repository:

   git clone https://github.com/your-username/cdss-fuzzy-logic.git
   cd cdss-fuzzy-logic

2. Run the script:

   python cdss_fuzzy_logic.py

3. Input clinical parameters:

   • Enter the temperature, heart rate, and blood pressure as prompted.

4. View the output:

   • The script computes and displays the diagnosis level and suggested action.

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Visualization

The project includes visualizations for:

1. Membership Functions:

   • Displays the fuzzy sets for each input and output variable.

2. Diagnosis Process:

   • Shows the computed diagnosis with a visual representation of fuzzy rules.

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Example Output

Input:

• Temperature: 100°F
• Heart Rate: 110 bpm
• Blood Pressure: 150 mmHg

Output:

Diagnosis Level: 87.45
Decision: Critical condition. Immediate medical attention required.

Graphical Visualization:

1. Membership function plots.
2. Diagnosis level visualization.

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File Structure

cdss-fuzzy-logic/
├── cdss_fuzzy_logic.py       # Main Python script for the CDSS
├── README.md                 # Project documentation

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Contributing

Contributions are welcome! Feel free to submit a pull request or open an issue.

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Author

Neha Kohli