This paper has organized a heart disease-related dataset from UCI repository. The
organized dataset describes variables correlations with class-level target variables. This …

To design a framework for effective prediction of heart disease based on ensemble
techniques, without the need of feature selection, incorporating data balancing, outlier …

Every year, the worldwide health record reports enormous cases of deaths due to heart
disease. The advancement in healthcare system has tackled these issues in some extent but …

Heart disease is the deadliest disease and one of leading causes of death worldwide.
Machine learning is playing an essential role in the medical side. In this paper, ensemble …

Heart is the core part responsible for blood pumping in the human body. Any disorder that
effectuates the functions of the cardiovascular named heart disease or cardiovascular …

Throughout the world, cardiovascular diseases (CVDs) constitute the main cause of
morbidity and mortality. We can reduce premature deaths by identifying those who are at risk …

Heart disease is one of the leading killers that are widely recognized throughout the globe.
Large volumes of clinical data are stored in a variety of systems and biological equipment at …

Disease diagnosis is an important and tedious job in medicine. Nowadays, cardiovascular
diseases are the major cause of death in the world, especially in the low income countries …

Heart disease is the leading cause of mortality among men and women. Accurate and rapid
diagnosis of heart disease will assist in saving many lives. To develop a novel ensemble …

Abstract Heart diseases or Cardiovascular Diseases are the leading cause of death globally.
Amid the Covid-19 pandemic, the toll has further increased and is prevalent among all age …