Heart's Health Prediction

Heart disease is a general term that means that the heart is not working normally. Babies can be born with heart disease. This is called congenital heart disease. If people get heart disease later, it is called acquired heart disease. Most heart disease is acquired.

The three most common types of acquired heart disease are:

• Coronary Artery Disease

• Congestive Heart Failure

• Bad Heart Rhythms

Some symptoms of heart disease are:

• Pain in the chest

• Trouble breathing

• Palpitations (a feeling that the heart is beating too fast, too hard, or not regularly)

• Swelling

• Feeling weak because the body and brain are not getting enough blood to supply them with oxygen

• Cyanosis (skin turning a blue colour) means that too little oxygen is in the bloodstream to supply the cells in the body

This app uses machine learning to predict heart's health. Trained models with 13, 9, 7, 5 and 3 predictor features are used to predict heart’s health. Preprocessing of heart's health training data is undertaken using NumPy and pandas Python libraries. Machine learning toolset 'CreateML' is used to fit a model to training data.

This is a general purpose app, based on public domain data. It gives a simple prediction: ‘Healthy’ or ‘Check Health’. If ‘Check Health’ is the prediction, it means further health checks are suggested. Please check with a doctor in addition to using the app and before making medical decisions.