A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review
Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions
Myocardial infarction, commonly known as heart attack, is one of the most common heart
diseases prevailing in the human world. Heart or cardiac disease is one of the leading …
diseases prevailing in the human world. Heart or cardiac disease is one of the leading …
Heart disease prediction using entropy based feature engineering and ensembling of machine learning classifiers
R Rajendran, A Karthi - Expert Systems with Applications, 2022 - Elsevier
Abstract Machine Learning (ML) in the healthcare industry has newly made headlines.
Several ML models developed in the state of the art frameworks with different databases …
Several ML models developed in the state of the art frameworks with different databases …
[HTML][HTML] Performance based evaluation of algorithmson chronic kidney disease using hybrid ensemble model in machine learning
DC Yadav, S Pal - Biomedical and Pharmacology …, 2021 - biomedpharmajournal.org
In medical data science, data classification, pattern generation, data analysis and improving
classification accuracy are the important issues in the recent scenario. The main objective of …
classification accuracy are the important issues in the recent scenario. The main objective of …
Identification of potential valid clients for a sustainable insurance policy using an advanced mixed classification model
YS Chen, CK Lin, YS Lin, SF Chen, HH Tsao - Sustainability, 2022 - mdpi.com
Due to the social awareness of risk control, we are witnessing the popularization of the
insurance concept and the rapid development of financial insurance. The performance of the …
insurance concept and the rapid development of financial insurance. The performance of the …
An intelligent decision support ensemble voting model for coronary artery disease prediction in smart healthcare monitoring environments
A Maach, J Elalami, N Elalami… - arXiv preprint arXiv …, 2022 - arxiv.org
Coronary artery disease (CAD) is one of the most common cardiac diseases worldwide and
causes disability and economic burden. It is the world's leading and most serious cause of …
causes disability and economic burden. It is the world's leading and most serious cause of …
Machine Learning Models for Prediction of Cardiovascular Diseases
K Sivaraman, V Khanna - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Abstract Support Vector Machines (SVM)[9], Ada Boost (AB)[10], and Gradient Boosting
(GB). Maximum Relevance, Minimum Redundancy (mRMR), Relief, and Least Absolute …
(GB). Maximum Relevance, Minimum Redundancy (mRMR), Relief, and Least Absolute …
Predicting Coronary Artery Disease using an Ensemble Voting Model and Machine Learning Techniques
CMM Mansoor, SK Chettri… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Ccoronary Artery Disease (CAD), a kind of cardiovascular illness, is well known for its
proclivity to cause death. Plaque deposition in coronary arteries, which is largely calcium …
proclivity to cause death. Plaque deposition in coronary arteries, which is largely calcium …
Data Visualization of Big Data for Predictive and Descriptive Analytics for Stroke, COVID-19, and Diabetes
RS Segall, S Takashashi - International Journal of Big Data and …, 2023 - igi-global.com
Visualization of big data is crucial for meaningful interpretations and especially for
healthcare. Brief discussions are made for big data, background for healthcare, and recent …
healthcare. Brief discussions are made for big data, background for healthcare, and recent …
Cardiovascular Disease Prediction and Comparative Analysis of Varied Classifier Techniques
Heart disease is one of the leading causes of death in the world. Early detection is a
challenging task for medical practitioners to save lives and reduce the mortality rate of …
challenging task for medical practitioners to save lives and reduce the mortality rate of …