Machine learning-based coronary artery disease diagnosis: A comprehensive review

R Alizadehsani, M Abdar, M Roshanzamir… - Computers in biology …, 2019 - Elsevier
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 …

Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques

P Ghosh, S Azam, M Jonkman, A Karim… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Predictive data mining approaches in medical diagnosis: A review of some diseases prediction

R Ghorbani, R Ghousi - International Journal of Data and …, 2019 - m.growingscience.com
Due to the increasing technological advances in all fields, a considerable amount of data
has been collected to be processed for different purposes. Data mining is the process of …

Automated diagnosis of coronary artery disease: a review and workflow

Q Mastoi, TY Wah, R Gopal Raj… - Cardiology research and …, 2018 - Wiley Online Library
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 …

A practical review and taxonomy of fuzzy expert systems: methods and applications

M Tavana, V Hajipour - Benchmarking: An International Journal, 2020 - emerald.com
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 …

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 …

Design of heart disease diagnosis system using fuzzy logic

T Kasbe, RS Pippal - 2017 International Conference on Energy …, 2017 - ieeexplore.ieee.org
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 …

A novel feature selection approach with integrated feature sensitivity and feature correlation for improved prediction of heart disease

G Saranya, A Pravin - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
This paper presents a random forest-feature sensitivity and feature correlation (RF-FSFC)
technique for enhanced heart disease prediction. The proposed methodology is …

Diagnosis of heart diseases: A fuzzy-logic-based approach

ML Ali, MS Sadi, MO Goni - Plos one, 2024 - journals.plos.org
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 …

Review of Soft Computing Techniques in Monitoring Cardiovascular Disease in the Context of South Asian Countries

GS Thakur, SK Sahu, NK Swamy, M Gupta, T Jan… - Applied Sciences, 2023 - mdpi.com
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 …