/Heart-Attack-Prediction

Topic Name: Heart Attack Prediction

Primary LanguagePython

Heart-Attack-Prediction using machine learning algorithm

-It is graphical user interface system which based on Tkinter library.

-Machine learning algorithm = Logistic Regression

-Logistic regression is a supervised machine learning algorithm that accomplishes binary classification tasks by predicting the probability of an outcome, event, or observation. The model delivers a binary or dichotomous outcome limited to two possible outcomes: yes/no, 0/1, or true/fals

###Column Information:

  • age
  • sex
  • Chest pain type (4 values)
  • Resting blood pressure
  • Serum cholestoral in mg/dl
  • Fasting blood sugar > 120 mg/dl
  • Resting electrocardiographic results (values 0,1,2)
  • Maximum heart rate achieved
  • Exercise induced angina
  • Oldpeak = ST depression induced by exercise relative to rest
  • The slope of the peak exercise ST segment
  • Number of major vessels (0-3) colored by flourosopy
  • Thal: 0 = normal; 1 = fixed defect; 2 = reversable defect