Predicting coronary heart disease using an improved LightGBM model: Performance analysis and comparison

H Yang, Z Chen, H Yang, M Tian - IEEE Access, 2023 - ieeexplore.ieee.org
Coronary heart disease (CHD) is a dangerous condition that cannot be completely cured.
Accurate detection of early coronary artery disease can assist physicians in treating patients …

[Retracted] An Effective Machine Learning‐Based Model for an Early Heart Disease Prediction

PC Bizimana, Z Zhang, M Asim… - BioMed Research …, 2023 - Wiley Online Library
Heart disease (HD) has become a dangerous problem and one of the most significant
mortality factors worldwide, which requires an expensive and sophisticated detection …

A Comparative Study of Machine Learning classifiers to analyze the Precision of Myocardial Infarction prediction

RH Khan, J Miah, SAA Nipun… - 2023 IEEE 13th Annual …, 2023 - ieeexplore.ieee.org
In the modern world, heart disease ranks among the main causes of death. Smoking, high
blood pressure, and cholesterol are the three key risk factors for getting one heart disease …

Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction

J Miah, DM Ca, MA Sayed, ER Lipu… - … on Innovations in …, 2023 - ieeexplore.ieee.org
Cardiovascular disease remains a leading cause of mortality in the contemporary world. Its
association with smoking, elevated blood pressure, and cholesterol levels underscores the …

Heart disease prediction using hyper parameter optimization (HPO) tuning

R Valarmathi, T Sheela - Biomedical Signal Processing and Control, 2021 - Elsevier
Coronary artery disease prediction is considered to be one of the most challenging tasks in
the health care industry. In our research, we propose a prediction system to detect the heart …

[HTML][HTML] Comparison of Different Machine Learning Algorithms for the Prediction of Coronary Artery Disease

IC Dipto, T Islam, HMM Rahman… - Journal of Data Analysis …, 2020 - scirp.org
Coronary Artery Disease (CAD) is the leading cause of mortality worldwide. It is a complex
heart disease that is associated with numerous risk factors and a variety of Symptoms …

[HTML][HTML] A hybrid deep neural net learning model for predicting Coronary Heart Disease using Randomized Search Cross-Validation Optimization

N Sharma, L Malviya, A Jadhav, P Lalwani - Decision Analytics Journal, 2023 - Elsevier
Abstract Coronary Heart Disease (CHD) is a life-threatening public health problem. Many
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …

Improvement of the performance of models for predicting coronary artery disease based on XGBoost algorithm and feature processing technology

S Zhang, Y Yuan, Z Yao, X Wang, Z Lei - Electronics, 2022 - mdpi.com
Coronary artery disease (CAD) is one of the diseases with the highest morbidity and
mortality in the world. In 2019, the number of deaths caused by CAD reached 9.14 million …

A hybrid framework for heart disease prediction using machine learning algorithms

L Chandrika, K Madhavi - E3S Web of Conferences, 2021 - e3s-conferences.org
Cardiovascular Diseases (CVDs) are the primary cause for the sudden death in the world
today from the past few years the disease has emerged greatly as a most unpredictable …

Performance evaluation of machine learning techniques (MLT) for heart disease prediction

GA Ansari, SS Bhat, MD Ansari… - … Methods in Medicine, 2023 - Wiley Online Library
The leading cause of death worldwide today is heart disease (HD). The heart is recognised
as the second‐most significant organ behind the brain. A successful outcome of treatment …