Coronary heart disease is one of the major causes of deaths around the globe. Predicating a
heart disease is one of the most challenging tasks in the field of clinical data analysis …

Heart disease is a significant global cause of mortality, and predicting it through clinical data
analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for …

Heart disease (HD), including heart attacks, is a primary cause of death across the world. In
the area of medical data analysis, one of the most difficult problems to solve is determining …

Every year, the percentage of people affected by cardiovascular diseases increases
drastically. Out of them, a heart attack is the most prominent and painful disease. According …

One of the critical issues in medical data analysis is accurately predicting a patient's risk of
heart disease, which is vital for early intervention and reducing mortality rates. Early …

Cardiovascular diseases, globally recognized as prominent contributors to morbidity and
mortality, have led to an imperative demand for precise, accessible, and efficient diagnostic …

Heart attack is a significant reason of human's death and disability and required emergency
medical help which makes it a major global health issue. Previously, various models have …

A substantial and rising number of patients suffer from cardiovascular diseases, including
heart attacks, heart failure, and other related illnesses. This case surge places increasing …

Recently, heart diseases are increasing daily with the current lifestyle. Different types of
cardiac diseases need to be diagnosed accurately for faster treatment to avoid death rates …

The most common malignant primary elementary brain tumor is Glioblastoma, accounting for
more than 50% of all invasive primary brain tumors. Isocitrate dehydrogenase 1 (IDH1) is an …