https://github.com/sayaliyewale/heart-attack-prediction

Topic Name: Heart Attack Prediction
https://github.com/sayaliyewale/heart-attack-prediction

datetime intellij-idea jupyter-notebook logistic-regression machine-learning-algorithms matplotlib-pyplot mysql-database numpy panda pycharm-ide sklearn tkinter-gui

Last synced: about 1 month ago
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Topic Name: Heart Attack Prediction

• Host: GitHub
• URL: https://github.com/sayaliyewale/heart-attack-prediction
• Owner: SayaliYewale
• Created: 2024-06-05T06:39:15.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-06-05T09:36:57.000Z (5 months ago)
• Last Synced: 2024-10-09T18:23:20.046Z (about 1 month ago)
• Topics: datetime, intellij-idea, jupyter-notebook, logistic-regression, machine-learning-algorithms, matplotlib-pyplot, mysql-database, numpy, panda, pycharm-ide, sklearn, tkinter-gui
• Language: Python
• Homepage:
• Size: 849 KB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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