Forecasting Coronary Heart Disease Risk With a 2-Step Hybrid Ensemble Learning Method and Forward Feature Selection Algorithm
Detecting cardiovascular irregularities in a timely manner is crucial for preventing any fatal
risks. This research aims to devise an efficient forecasting algorithm for the timely prognosis …
risks. This research aims to devise an efficient forecasting algorithm for the timely prognosis …
An Improved Cardiovascular Disease Prediction Model Using Ensembling of Diverse Machine Learning Classifiers
C Datta, R Senapati - 2023 OITS International Conference on …, 2023 - ieeexplore.ieee.org
Cardiovascular disease, often treated as a cardiac illness, is a condition that occurs due to a
change in the blood flow among the arteries in the heart. Although advanced techniques …
change in the blood flow among the arteries in the heart. Although advanced techniques …
Enhancing Prediction of Cardiovascular Disease using Bagging Technique
HS Shaik, GV RajyaLakshmi, V Alane… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
Globally, cardiovascular disease is the major cause of death; According to estimates, it takes
an average of nearly 18 million lives each year according to the surveys. Recent …
an average of nearly 18 million lives each year according to the surveys. Recent …