Published Paper Details:

Electrocardiogram or ECG waveform is one of the most common names that comes up in the healthcare sector. It is often the foremost step that is taken by the healthcare professionals when it comes to dealing with any cardiovascular issues. The signals from the ECG waveform are a reflection of how the heart functions. Any abnormalities encountered in the waveform are a reflection of underlying problems that a person may be suffering from. Using technology, especially Machine Learning and Artificial Intelligence in the healthcare industry can open up new doors and provide valuable assistance in the treatment of diseases. HealthyHeart is our proposed way that classifies CVD by using Random Forest Algorithm on the data obtained from the ECG signals. An accuracy of 97.7% was achieved by training the developed model over 979273 data entries. The accuracy rate indicates that HealthyHeart is a good fit for producing accurate results.