orkhan-amrullayev / Heart_Disease_Prediction

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Heart Disease Prediction with more than 83% accuracy

By using 13 different features, the model predicts whether a person has a heart disease or not. All you need is just to input these 13 features which is mostly results of medical analysis:

  1. age
  2. sex
  3. chest pain type (4 values)
  4. resting blood pressure
  5. serum cholestoral in mg/dl
  6. fasting blood sugar > 120 mg/dl
  7. resting electrocardiographic results (values 0,1,2)
  8. maximum heart rate achieved
  9. exercise induced angina
  10. oldpeak = ST depression induced by exercise relative to rest
  11. the slope of the peak exercise ST segment
  12. number of major vessels (0-3) colored by flourosopy
  13. thal: 3 = normal; 6 = fixed defect; 7 = reversable defect

Schematic-diagram-of-normal-ECG

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