Heart-Attack-Prediction

It is a Graphical User Interface System which is based on tkinter library

What is Logistic Regression ?

Logistic Regression is a statistical and machine-learning techniques classifying records of a dataset based on the values of the input fields . It predicts a dependent variable based on one or more set of independent variables to predict outcomes . It can be used both for binary classification and multi-class classification.

##Objective The primary objective of this study was to classify heart disease using logistic regression model and a real-world dataset. The logistic regression algorithm was applied to a dataset of patients with heart disease to predict the presence of the disease.

Dataset

[Dataset: (https://github.com/Tanmayee2010/Heart-Attack-Prediction/blob/main/heart.csv)]

Columns 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

Libraries Used -

1. Pandas (for data manipulation)
2. Matplotlib (for data visualization)
3. Numpy (for numerical calculation)
4. Scikit-Learn (for data modeling)
5. tkinter (for GUI)