[PDF][PDF] A SURVEY OF PERFORMANCES OF SOME SELECTED MACHINE LEARNING ALGORITHMS FOR CARDIOVASCULAR DISEASE PREDICTION

L Yahaya, I Hassan, AM RABIU - BIMA JOURNAL OF …, 2020 - journals.gjbeacademia.com
A SURVEY OF PERFORMANCES OF SOME SELECTED MACHINE LEARNING
ALGORITHMS FOR CARDIOVASCULAR DISEASE PREDICTION LAMIDO YAHAYA1*, IBR …

Machine learning algorithms for early prediction of heart disease

A Sinha, R Mathew - Proceeding of the International Conference on …, 2020 - Springer
Abstract Machine learning has been effective in assisting the decision making and analysis
of huge data produced by healthcare sector. By using machine learning model for prediction …

[PDF][PDF] An Ensemble Machine Learning system for Prediction of Congenital Heart Disease Severity Level

AJ Agboke - researchgate.net
The World Health Organization projections, says 23.6 million people worldwide are
anticipated to die from heart disease by the year 2030. It is impossible to overstate the …

ELITIST STREAMLINED SAWTOOTH GENETIC ALGORITHM (SAWTGA) FOR ANTICIPATING THE MENACE OF CORONARY HEART DISEASE.

T GUHAN, N REVATHY… - Oxidation …, 2021 - search.ebscohost.com
The focal aim of this work was to build up an Elitist streamlined sawtooth genetic algorithm
(SAWTGA) for anticipating the danger of coronary illness to a patient with the clinical records …