Tag: Heart Disease

Machine learning has grown in popularity as a result of the widespread application of its algorithms in numerous data science projects across many industries, particularly in the health-care industry. Machine learning technologies must be used to assist researchers and medical professionals in the early diagnosis of diseases such as...

Introduction: Women of childbearing age are more likely to have heart disease. Heart disease is the major cause of maternal death and morbidity in unbooked and newly diagnosed heart disease affecting pregnancy. The signs and symptoms of pregnancy can be mixed up with those of cardiac disease. The value...

Heart disease is the leading cause of mortality in the United States, killing 655,000 people each year. Heart disease is responsible for one out of every four deaths. Every 36 seconds, one person dies as a result of this. It doesn’t have to be this this. Heart attacks, strokes,...

Propose an effective cardiac disease categorization method that can predict disease early on and cut death rates. The study used a hybrid intelligence model of Genetic Algorithm (GA) and Support Vector Machine (SVM) for prediction, and the Cleveland dataset from the UCI machine learning library was used. SVM and...

The present study was designed to investigate the role of combined administration of Ramipril and Candesartan against in vitro myocardial ischemic reperfusion injury in rat. Male Wistar albino rats were divided into five groups (= 6) and treated with saline (10 mL/kg), Ramipril (2 mg/kg), Candesartan (1 mg/kg), and...

Coronary heart disease: seven dietary factors The dietary factors believed to be linked with the incidence of coronary heart condition are reviewed within the light of evidence with reference to their functional role, either in protection or in promotion. Detailed analysis of the evidence shows that the relations are...