A computational model designed on the basis of big data analytics has a vast application in
medical field. The chronic disease like cerebral stroke results in demises of large number of …

Toddler nutritional status is an important factor in efforts to reduce child mortality. The
development of community nutrition can be monitored through the results of recording and …

Myocardial Infarction occurs due to the destruction of heart tissue resulting from the
obstruction of the blood supply to the heart muscle. It refers to a heart attack which is a major …

Heart disease causes millions of deaths worldwide. Many approaches have been proposed
for the prediction of heart disease. Several machine learning, deep learning, and data …

Myocardial Infarction otherwise called heart attack occurs in human beings when blood flow
decreases or stops to a part of the heart which in turn damages the heart muscle. Prediction …

Heart attacks are the leading cause of deaths worldwide. However, diagnosing them can be
difficult as their symptoms can resemble those of other illnesses. There are several types of …

Heart attacks are a leading cause of death worldwide, making it a necessity to develop
accurate prediction systems for timely intervention and prevention. This paper addresses the …

Prevention is better than cure. The prediction is a very important aspect of Medicinal
services. Forecasting of heart disease is one of the most demanding issues ina Medicinal …

Understanding big data and data mining algorithms is vital in the study of predictive
analytics and the healthcare industry in improving disease predictive models. Disease …

The data mining is the approach which can process the information which is available in
large quantity. The prediction analysis is the approach of data mining that predicts future …