基于模糊专家系统来诊断心脏病内含数据集和运行环境说明.zip

# Heart Disease Diagnosis The aim of this project is to diagnose heart disease based on a `fuzzy expert system`. ## Inputs 1. **Blood Pressure** 2. **Blood Sugar** 3. **Cholesterol** 4. **Heart Rate** 5. **ECG** 6. **Old Peak** 7. **Age** ### Crisp Inputs 1. **Chest Pain** 1: Typical Angina, 2: Atypical Angina, 3: Non-Anginal Pain, 4: Asymptomatic 2. **Sex** 0: Male, 1: Female 3. **Exercise** 0: This person is not allowed to have sport activities. 1: This person is allowed to have sport activities 4. **Thallium** 3: Normal 6: Medium 7: High ## Steps This project includes four steps: 1. [Fuzzification](https://github.com/salinaria/heart-disease-diagnosis/blob/main/fuzzification.py): Based on Inputs and Fuzzy Sets 2. [Inference](https://github.com/salinaria/heart-disease-diagnosis/blob/main/inference.py): Based on the [Rules](https://github.com/salinaria/heart-disease-diagnosis/blob/main/rules.fcl) 3. [Defuzzification](https://github.com/salinaria/heart-disease-diagnosis/blob/main/defuzzification.py): Based on this Formula of the Center of the Mass (`CoG`): $$x^*=(\sum_{i=1}^{n} μ_C^― (x_i).x_i)/(\sum_{i=1}^{n} μ_C^― (x_i))$$ 4. [Final Result](https://github.com/salinaria/heart-disease-diagnosis/blob/main/final_result.py) ## How to Run ### Install Requirements $ pip install -r requirements.txt ### Run $ python -m flask run ## An Example of Input and Result   ## Report My report in Farsi is available [Here](https://github.com/salinaria/heart-disease-diagnosis/blob/main/CI_project2.pdf).