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Machine learning-based coronary artery disease diagnosis: A comprehensive review
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
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 …
A practical review and taxonomy of fuzzy expert systems: methods and applications
Purpose Expert systems are computer-based systems that mimic the logical processes of
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …
Fuzzy logic and hybrid based approaches for the risk of heart disease detection: state-of-the-art review
J Kaur, BS Khehra - Journal of The Institution of Engineers (India): Series B, 2022 - Springer
Abstract Artificial Intelligence, Machine Learning, Fuzzy Logic, Neural Network, Genetic
Algorithm and their hybrid systems play vital role in the medical sciences to diagnose …
Algorithm and their hybrid systems play vital role in the medical sciences to diagnose …
Automated diagnosis of coronary artery disease: a review and workflow
Coronary artery disease (CAD) is the most dangerous heart disease which may lead to
sudden cardiac death. However, CAD diagnoses are quite expensive and time‐consuming …
sudden cardiac death. However, CAD diagnoses are quite expensive and time‐consuming …
A novel feature selection approach with integrated feature sensitivity and feature correlation for improved prediction of heart disease
This paper presents a random forest-feature sensitivity and feature correlation (RF-FSFC)
technique for enhanced heart disease prediction. The proposed methodology is …
technique for enhanced heart disease prediction. The proposed methodology is …
Diagnosis of heart diseases: A fuzzy-logic-based approach
Cardiovascular diseases (CVD) also known as heart disease are now the leading cause of
death in the world. This paper presents research for the design and creation of a fuzzy logic …
death in the world. This paper presents research for the design and creation of a fuzzy logic …
Design of heart disease diagnosis system using fuzzy logic
In most of the cases, heart disease results in death. Medical diagnosis is a difficult task and
most of the time done by experts in domain. The aim of this work is to develop a fuzzy expert …
most of the time done by experts in domain. The aim of this work is to develop a fuzzy expert …
[HTML][HTML] Review of soft computing techniques in monitoring cardiovascular disease in the context of south Asian countries
The term “soft computing” refers to a system that can work with varying degrees of
uncertainty and approximations in real-life complex problems using various techniques such …
uncertainty and approximations in real-life complex problems using various techniques such …
The potential of single nucleotide polymorphisms (SNPs) as biomarkers and their association with the increased risk of coronary heart disease: a systematic review
BDP Sitinjak, N Murdaya, TA Rachman… - Vascular health and …, 2023 - Taylor & Francis
Human genetic analyses and epidemiological studies showed a potential association
between several types of gene polymorphism and the development of coronary heart …
between several types of gene polymorphism and the development of coronary heart …