Heart disease risk prediction using machine learning classifiers with attribute evaluators
Cardiovascular diseases (CVDs) kill about 20.5 million people every year. Early prediction
can help people to change their lifestyles and to ensure proper medical treatment if …
can help people to change their lifestyles and to ensure proper medical treatment if …
Effective feature engineering technique for heart disease prediction with machine learning
Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-
based technique is needed to predict heart failure health status early and take necessary …
based technique is needed to predict heart failure health status early and take necessary …
Identifying the main risk factors for cardiovascular diseases prediction using machine learning algorithms
LR Guarneros-Nolasco, NA Cruz-Ramos… - Mathematics, 2021 - mdpi.com
Cardiovascular Diseases (CVDs) are a leading cause of death globally. In CVDs, the heart
is unable to deliver enough blood to other body regions. As an effective and accurate …
is unable to deliver enough blood to other body regions. As an effective and accurate …
Prediction of heart disease and classifiers' sensitivity analysis
KM Almustafa - BMC bioinformatics, 2020 - Springer
Background Heart disease (HD) is one of the most common diseases nowadays, and an
early diagnosis of such a disease is a crucial task for many health care providers to prevent …
early diagnosis of such a disease is a crucial task for many health care providers to prevent …
Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
An empirical study on machine learning algorithms for heart disease prediction
TA Assegie, PK Rangarajan, NK Kumar… - … Journal of Artificial …, 2022 - search.proquest.com
In recent years, machine learning is attaining higher precision and accuracy in clinical heart
disease dataset classification. However, literature shows that the quality of heart disease …
disease dataset classification. However, literature shows that the quality of heart disease …
Risk prediction of cardiovascular disease using machine learning classifiers
Cardiovascular disease (CVD) makes our heart and blood vessels dysfunctional and often
leads to death or physical paralysis. Therefore, early and automatic detection of CVD can …
leads to death or physical paralysis. Therefore, early and automatic detection of CVD can …
A heart disease prediction model based on feature optimization and smote-Xgboost algorithm
J Yang, J Guan - Information, 2022 - mdpi.com
In today's world, heart disease is the leading cause of death globally. Researchers have
proposed various methods aimed at improving the accuracy and efficiency of the clinical …
proposed various methods aimed at improving the accuracy and efficiency of the clinical …
[Retracted] Implementation of a Heart Disease Risk Prediction Model Using Machine Learning
K Karthick, SK Aruna, R Samikannu… - … Methods in Medicine, 2022 - Wiley Online Library
Cardiovascular disease prediction aids practitioners in making more accurate health
decisions for their patients. Early detection can aid people in making lifestyle changes and, if …
decisions for their patients. Early detection can aid people in making lifestyle changes and, if …
Enhancing heart disease prediction accuracy through machine learning techniques and optimization
N Chandrasekhar, S Peddakrishna - Processes, 2023 - mdpi.com
In the medical domain, early identification of cardiovascular issues poses a significant
challenge. This study enhances heart disease prediction accuracy using machine learning …
challenge. This study enhances heart disease prediction accuracy using machine learning …