Machine learning-based heart disease diagnosis: A systematic literature review

MM Ahsan, Z Siddique - Artificial Intelligence in Medicine, 2022 - Elsevier
Heart disease is one of the significant challenges in today's world and one of the leading
causes of many deaths worldwide. Recent advancement of machine learning (ML) …

[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …

A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …

Machine learning based decision support systems (DSS) for heart disease diagnosis: a review

S Safdar, S Zafar, N Zafar, NF Khan - Artificial Intelligence Review, 2018 - Springer
The current review contributes with an extensive overview of decision support systems in
diagnosing heart diseases in clinical settings. The investigators independently screened …

A clinical support system for prediction of heart disease using machine learning techniques

H El Hamdaoui, S Boujraf, NEH Chaoui… - 2020 5th International …, 2020 - ieeexplore.ieee.org
Heart disease is a leading cause of death worldwide. However, it remains difficult for
clinicians to predict heart disease as it is a complex and costly task. Hence, we proposed a …

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 …

MIFH: A machine intelligence framework for heart disease diagnosis

A Gupta, R Kumar, HS Arora, B Raman - IEEE access, 2019 - ieeexplore.ieee.org
Cardiovascular disease tops the list among all major causes of deaths worldwide. Though,
prognostication and in-time diagnosis can help in reducing the mortality rate as well as …

Use of efficient machine learning techniques in the identification of patients with heart diseases

P Ghosh, S Azam, A Karim, M Jonkman… - Proceedings of the 2021 …, 2021 - dl.acm.org
Cardiovascular disease has become one of the world's major causes of death. Accurate and
timely diagnosis is of crucial importance. We constructed an intelligent diagnostic framework …

Interpretable machine learning techniques in ECG-based heart disease classification: a systematic review

YM Ayano, F Schwenker, BD Dufera, TG Debelee - Diagnostics, 2022 - mdpi.com
Heart disease is one of the leading causes of mortality throughout the world. Among the
different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non …

Machine learning-based predictive models for detection of cardiovascular diseases

A Ogunpola, F Saeed, S Basurra, AM Albarrak… - Diagnostics, 2024 - mdpi.com
Cardiovascular diseases present a significant global health challenge that emphasizes the
critical need for developing accurate and more effective detection methods. Several studies …

Predicting heart disease at early stages using machine learning: a survey

R Katarya, P Srinivas - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Predicting and detection of heart disease has always been a critical and challenging task for
healthcare practitioners. Hospitals and other clinics are offering expensive therapies and …