A proposed heart disease diagnosis based on Deep learning.

Abstract

: One of the most influential factors in preserving a person's life is the late detection of heart disease, as cardiovascular disease is considered one of the biggest risks that lead to death. Cholesterol level, age, gender, as well as blood sugar level and heart rate are considered among the most influential factors in heart disease. The accurate diagnosis of all these diseases depends on the experience and skill of the treating physician. Many researchers have intended to use automated methods to diagnose diseases without relying on the expertise of doctors. In this research, the researchers present a proposal based on deep learning (DL) using the distinctive features of some factors affecting heart disease. Therefore, magnification techniques were used to diagnose whether the patient is at risk for cardiovascular disease. Bloody or not. The research resulted in progress, as accuracy in diagnosis reached 90.088%.