Abstract:

The heart serves a crucial role in living things. Greater precision, fineness, and accuracy are required for the diagnosis and prognosis of heart disorders because even a small error might lead to exhaustion or death. Heart-related deaths occur often, and the rate of increase is accelerating. About one person dies from heart disease every minute in the modern era. The goal of this study is to recommend proper drug and food to majorly attacking heart diseases. Here in this research, we are using machine learning algorithm to suggest the medicine and nutrition for corresponding heart disease considering the symptoms given by the user. The speedy advancement of technology has led to remarkable rise in mobile health technology that being one of the web applications. This research includes datasets considering both male and female categories with all the age groups. The machine learning algorithm we used in this research is Decision Tree algorithm. This algorithm is based on a single attribute through which corresponding drug and food can be recommended.

Description:

Decision Tree Algorithm, Heart Attack, Heart Stroke, Arrythmia, Food recommendation, Drug recommendation