Analysis and Prediction of Myocardial Infarction using Machine Learning

A myocardial localized necrosis (also known as a stroke) refers to a tissue damage in the brain due to the lack of oxygen in the specified area. An ischemic stroke is caused by a lack of oxygen that arises due to a constricted blood supply; this condition might result in developing dead tissue if the blood supply is not restored in a relatively short period of time. Around 33% of the cases end up being lethal. To overcome this challenge, this research work has proposed a novel framework called Logistic relapse, an AI relapse calculation that is utilized to distinguish the myocardial localized necrosis in a patient. The calculation is prepared by utilizing an organized clinical dataset. By precisely distinguishing the myocardial localized necrosis in a patient, this effort will be remarkable in the clinical field.