Heart Disease Prediction Using Machine Learning (With GUI)
Heart disease is the number one cause of death globally. Heart disease is concertedly contributed by hypertension, diabetes, overweight and unhealthy lifestyles. Video Link: https://youtu.be/zbyJPBUFIZ0 H ello All, In this article, we will discuss heart disease prediction using machine learning. The main aim of this project is to predict whether a person is having a risk of heart disease or not. We will create GUI so users can perform predictions using the designed GUI. Dataset Features: - age - sex - chest pain type (4 values) — Value 0: typical angina — Value 1: atypical angina — Value 2: non-anginal pain — Value 3: asymptomatic - trestbps: resting blood pressure (in mm Hg on admission to the hospital) - chol: serum cholestoral in mg/dl - fbs: (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false) - restecg: resting electrocardiographic results — Value 0: normal — Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > ...