Introduction Cardiovascular disease is the leading cause of death worldwide, and
cardiovascular disease burden is increasing in low-resource settings and for lower …

Rationale: Machine learning may be useful to characterize cardiovascular risk, predict
outcomes, and identify biomarkers in population studies. Objective: To test the ability of …

Data Mining is one of the most motivating area of research that is become increasingly
popular in health organization. Data Mining plays an important role for uncovering new …

Health care is an inevitable task to be done in human life. Health concern business has
become a notable field in the wide spread area of medical science. Health care industry …

Data mining techniques have been widely used in clinical decision support systems for
prediction and diagnosis of various diseases with good accuracy. These techniques have …

Heart disease is the leading cause of death in the world over the past 10 years. Researchers
have been using several data mining techniques to help health care professionals in the …

Globally, heart diseases are the number one cause of death. About 80% of deaths occurred
in low-and middle income countries. If current trends are allowed to continue, by 2030 an …

Heart disease is the leading cause of death in the world over the past 10 years. Researchers
have been using several data mining techniques to help health care professionals in the …

Cardiovascular disease (CVD) remains a leading cause of mortality worldwide, and the
prevention and management of this disease represent significant challenges for healthcare …

The availability of huge amounts of medical data leads to the need for powerful data
analysis tools to extract useful knowledge. Researchers have long been concerned with …