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

Automatic cardiac cine MRI segmentation and heart disease classification

(2021) Abderazzak Ammar et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Better Reporting of Studies on Artificial Intelligence: CONSORT-AI and Beyond

(2021) F. Schwendicke et al.   JOURNAL OF DENTAL RESEARCH

Constrained transformer network for ECG signal processing and arrhythmia classification

(2021) Chao Che et al.   BMC Medical Informatics and Decision Making

Early detection of heart diseases using a low-cost compact ECG sensor

(2021) Shivam Dixit et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Generative adversarial networks for unbalanced fetal heart rate signal classification

(2021) Riskyana Dewi Intan Puspitasari et al.   ICT Express

A Machine Learning Approach for Chronic Heart Failure Diagnosis

(2021) Dafni K. Plati et al.   Diagnostics

Integrating TANBN with cost sensitive classification algorithm for imbalanced data in medical diagnosis

(2020) Dan Gan et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Left ventricle landmark localization and identification in cardiac MRI by deep metric learning-assisted CNN regression

(2020) Xuchu Wang et al.   NEUROCOMPUTING

An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction

(2020) Aniruddha Dutta et al.   EXPERT SYSTEMS WITH APPLICATIONS

Electrocardiogram heartbeat classification based on a deep convolutional neural network and focal loss

(2020) Taissir Fekih Romdhane et al.   COMPUTERS IN BIOLOGY AND MEDICINE

CraftNet: A deep learning ensemble to diagnose cardiovascular diseases

(2020) Yong Li et al.   Biomedical Signal Processing and Control

Data preprocessing for heart disease classification: A systematic literature review

(2020) H. Benhar et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep MLP-CNN Model Using Mixed-Data to Distinguish between COVID-19 and Non-COVID-19 Patients

(2020) Md Manjurul Ahsan et al.   Symmetry-Basel

Ensemble of kernel extreme learning machine based random forest classifiers for automatic heartbeat classification

(2020) Ping Yang et al.   Biomedical Signal Processing and Control

Integrating Enhanced Sparse Autoencoder-Based Artificial Neural Network Technique and Softmax Regression for Medical Diagnosis

(2020) Sarah A. Ebiaredoh-Mienye et al.   Electronics

Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals

(2019) Paweł Pławiak et al.   NEURAL COMPUTING & APPLICATIONS

Myocardial Infarction Detection and Localization Using Optimal Features Based Lead Specific Approach

(2019) L.D. Sharma et al.   IRBM

Multi‐view ensemble learning with empirical kernel for heart failure mortality prediction

(2019) Zhe Wang et al.   International Journal for Numerical Methods in Biomedical Engineering

Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs

(2018) Alexey A. Novikov et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Similarity-based attribute weighting methods via clustering algorithms in the classification of imbalanced medical datasets

(2018) Kemal Polat   NEURAL COMPUTING & APPLICATIONS

Prediction of dyslipidemia using gene mutations, family history of diseases and anthropometric indicators in children and adolescents: The CASPIAN-III study

(2018) Hamid R. Marateb et al.   Computational and Structural Biotechnology Journal

PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

(2018) Andrea C. Tricco et al.   ANNALS OF INTERNAL MEDICINE

Automatic recognition of arrhythmia based on principal component analysis network and linear support vector machine

(2018) Weiyi Yang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A robust deep convolutional neural network with batch-weighted loss for heartbeat classification

(2018) Ali Sellami et al.   EXPERT SYSTEMS WITH APPLICATIONS

Antithrombotic therapy in atrial fibrillation associated with valvular heart disease: a joint consensus document from the European Heart Rhythm Association (EHRA) and European Society of Cardiology Working Group on Thrombosis, endorsed by the ESC Working Group on Valvular Heart Disease, Cardiac Arrhythmia Society of Southern Africa (CASSA), Heart Rhythm Society (HRS), Asia Pacific Heart Rhythm Society (APHRS), South African Heart (SA Heart) Association and Sociedad Latinoamericana de Estimulación Cardíaca y Electrofisiología (SOLEACE)

(2017) Gregory Y H Lip et al.   EUROPACE

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach

(2017) Aya Awad et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

A Multicriteria Weighted Vote-Based Classifier Ensemble for Heart Disease Prediction

(2015) Saba Bashir et al.   COMPUTATIONAL INTELLIGENCE

Green supply chain management: A review and bibliometric analysis

(2015) Behnam Fahimnia et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

A Multiscale Approach for Modeling Atherosclerosis Progression

(2015) Konstantinos P. Exarchos et al.   IEEE Journal of Biomedical and Health Informatics

Computational intelligence for heart disease diagnosis: A medical knowledge driven approach

(2012) Jesmin Nahar et al.   EXPERT SYSTEMS WITH APPLICATIONS

An Intelligent Scoring System and Its Application to Cardiac Arrest Prediction

(2012) Nan Liu et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

CARDIAC ARRHYTHMIA DIAGNOSIS BY HRV SIGNAL PROCESSING USING PRINCIPAL COMPONENT ANALYSIS

(2012) S. VINITHA SREE et al.   Journal of Mechanics in Medicine and Biology