[PDF][PDF] GRADIENT BOOSTING OPTIMIZATION (GBO) BASED CLASSIFICATION METHOD FOR THE PREDICTION OF HEART DISEASE
V Chezhiyan, DJ Evanjaline - mukpublications.com
ABSTRACT A heart attack is a medical emergency. A heart attack usually occurs when a
blood clot blocks the flow of blood to the heart. Cardiovascular disease is a variety of …
blood clot blocks the flow of blood to the heart. Cardiovascular disease is a variety of …
An optimized XGBoost based classification model for effective analysis of heart disease prediction
Current statistics by Centers for Disease Control and Prevention says, about 25% death in
United States is due to heart disease. This will increase and may reach to 50% in 2050 …
United States is due to heart disease. This will increase and may reach to 50% in 2050 …
Optimization Accuracy of Heart Disease Diagnosis using Machine Learning Approach
R Mishra, SK Gupta - 2022 IEEE 3rd Global Conference for …, 2022 - ieeexplore.ieee.org
Heart disease is a major cause of death worldwide. About 31% of global deaths occur due to
this disease. According to the WHO report, approximately 17.9 million people worldwide die …
this disease. According to the WHO report, approximately 17.9 million people worldwide die …
[HTML][HTML] Predictive analysis of cardiovascular disease using gradient boosting based learning and recursive feature elimination technique
P Theerthagiri - Intelligent Systems with Applications, 2022 - Elsevier
Background Heart disease is one of the most frequent chronic ailments people suffer. Early
identification can lower death rates by avoiding or lowering cardiovascular disease (CVD) …
identification can lower death rates by avoiding or lowering cardiovascular disease (CVD) …
Heart Disease Prediction and Analysis Using Ensemble Classifier in Machine Learning Techniques
JA Jasmine, S Mangayarkarasi - Human Machine Interaction in …, 2024 - taylorfrancis.com
Heart disease is the most dangerous diseases among the people worldwide. It can
diagnose earlier using medical history, but this method has been found to be unreliable …
diagnose earlier using medical history, but this method has been found to be unreliable …
Improved and Intelligent Heart Disease Prediction System Using Machine Learning Algorithm
Predicting heart disease needs more perfection, precision, and correctness because a little
fault may cause a big danger for a patient. In the field of machine learning, there are many …
fault may cause a big danger for a patient. In the field of machine learning, there are many …
Prediction of Heart Disease Using a Hybrid XGBoost-GA Algorithm with Principal Component Analysis: A Real Case Study
T Ozcan, EP Ozmen - International Journal on Artificial Intelligence …, 2023 - World Scientific
Cardiovascular diseases are one of the most common causes of death in the world. At this
point, early diagnosis of heart diseases is critically important. The aim of this study is to …
point, early diagnosis of heart diseases is critically important. The aim of this study is to …
[HTML][HTML] An optimized XGBoost based diagnostic system for effective prediction of heart disease
K Budholiya, SK Shrivastava, V Sharma - Journal of King Saud University …, 2022 - Elsevier
Researchers have created several expert systems over the years to predict heart disease
early and assist cardiologists to enhance the diagnosis process. We present a diagnostic …
early and assist cardiologists to enhance the diagnosis process. We present a diagnostic …
Boosting Algorithm for Classifying Heart Disease Diagnose
P Gunti Pratama, D Rahman Wijaya, H Nugroho… - 2022 - shdl.mmu.edu.my
The heart is a component of the human body that is responsible for pumping blood and
distributing oxygen throughout the body. Hospitals and doctors are still checking heart …
distributing oxygen throughout the body. Hospitals and doctors are still checking heart …
A Novel Logistic Regression in Coronary Artery Disease Prediction and Comparison of XGBoost Classifier for Improved Accuracy
SP Raj, I Sudha - 2023 Intelligent Computing and Control for …, 2023 - ieeexplore.ieee.org
the objective is to increase the precision of heart disease prediction by utilizing novel
Logistic Regression and contrasting it with the XGBoost Classifier. There are 20 examples in …
Logistic Regression and contrasting it with the XGBoost Classifier. There are 20 examples in …