Early prediction in classification of cardiovascular diseases with machine learning, neuro-fuzzy and statistical methods

O Taylan, AS Alkabaa, HS Alqabbaa, E Pamukçu… - Biology, 2023 - mdpi.com
Simple Summary Timely and accurate detection of cardiovascular diseases is critical to
reduce the risk of myocardial infarction. This article proposes a methodology using machine …

Clinical application of machine learning-based artificial intelligence in the diagnosis, prediction, and classification of cardiovascular diseases

S Shu, J Ren, J Song - Circulation Journal, 2021 - jstage.jst.go.jp
With the rapid development of artificial intelligence (AI) and machine learning (ML), as well
as the arrival of the big data era, technological innovations have occurred in the field of …

Heart disease prediction using machine learning techniques: a quantitative review

L Riyaz, MA Butt, M Zaman, O Ayob - International Conference on …, 2022 - Springer
Heart diseases or the cardiovascular diseases are the main reasons for a large number of
deaths in the world today. Heart disease affects the functioning of blood vessels and can …

Machine learning techniques for heart disease prediction: a comparative study and analysis

R Katarya, SK Meena - Health and Technology, 2021 - Springer
Nowadays, people are getting caught in their day-to-day lives doing their work and other
things and ignoring their health. Due to this hectic life and ignorance towards their health …

[PDF][PDF] ANFIS based classification model for heart disease prediction

N Ziasabounchi, I Askerzade - … Journal of Electrical & Computer Sciences …, 2014 - Citeseer
Heart disease diagnosis procedure is very vital and critical issue for the patient's health.
Furthermore, it will help to decrease disease to a more specific level. The role of using …

Risk prediction of cardiovascular disease using machine learning classifiers

M Pal, S Parija, G Panda, K Dhama, RK Mohapatra - Open Medicine, 2022 - degruyter.com
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 …

[PDF][PDF] A systematic literature review of deep and machine learning algorithms in cardiovascular diseases diagnosis

ZK Alkayyali, SAB Idris, SS Abu-Naser - Journal of Theoretical and Applied …, 2023 - jatit.org
During the whole cardiac cycle, heart sounds are created, and blood enters the heart
chambers as the cardiac regulators open and close. Blood flow produces aural noises; the …

Heart disease prediction using machine learning techniques

V Sharma, S Yadav, M Gupta - 2020 2nd international …, 2020 - ieeexplore.ieee.org
As per the recent study by WHO, heart related diseases are increasing. 17.9 million people
die every-year due to this. With growing population, it gets further difficult to diagnose and …

Application of machine learning for cardiovascular disease risk prediction

S Dalal, P Goel, EM Onyema, A Alharbi… - Computational …, 2023 - Wiley Online Library
Cardiovascular diseases (CVDs) are a common cause of heart failure globally. The need to
explore possible ways to tackle the disease necessitated this study. The study designed a …

Machine learning algorithms for the classification of cardiovascular disease-A comparative study

WM Jinjri, P Keikhosrokiani… - 2021 International …, 2021 - ieeexplore.ieee.org
Heart disease (cardiovascular disease) is a major human disorder that significantly affects
many people's lives. Diagnosing heart disease becomes an important task to reduce its …