Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms
Authors
Keywords
-
Journal
Journal of Healthcare Engineering
Volume 2022, Issue -, Pages 1-9
Publisher
Hindawi Limited
Online
2022-10-19
DOI
10.1155/2022/5359540
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficient Framework for Detection of COVID-19 Omicron and Delta Variants Based on Two Intelligent Phases of CNN Models
- (2022) Mustafa Ghaderzadeh et al. Computational and Mathematical Methods in Medicine
- Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association
- (2021) Salim S. Virani et al. CIRCULATION
- Deep Convolutional Neural Network–Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study
- (2021) Mustafa Ghaderzadeh et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Heart Failure Detection Using Quantum-Enhanced Machine Learning and Traditional Machine Learning Techniques for Internet of Artificially Intelligent Medical Things
- (2021) Yogesh Kumar et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model
- (2020) Javad Hassannataj Joloudari et al. International Journal of Environmental Research and Public Health
- Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble
- (2020) Bayu Adhi Tama et al. Biomed Research International
- Detection of coronary artery disease using multi-modal feature fusion and hybrid feature selection
- (2020) Huan Zhang et al. PHYSIOLOGICAL MEASUREMENT
- A Machine Learning Model Utilizing a Novel SNP Shows Enhanced Prediction of Coronary Artery Disease Severity
- (2020) Tanyaporn Pattarabanjird et al. Genes
- A new machine learning technique for an accurate diagnosis of coronary artery disease
- (2019) Moloud Abdar et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method
- (2019) Alind Gupta et al. MEDICAL DECISION MAKING
- A database for using machine learning and data mining techniques for coronary artery disease diagnosis
- (2019) R. Alizadehsani et al. Scientific Data
- Automated Diagnosis of Coronary Artery Disease: A Review and Workflow
- (2018) Qurat-ul-ain Mastoi et al. Cardiology Research and Practice
- Artificial intelligence in medicine
- (2017) Pavel Hamet et al. METABOLISM-CLINICAL AND EXPERIMENTAL
- Random forest in remote sensing: A review of applications and future directions
- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Mortality from ischaemic heart disease by country, region, and age: Statistics from World Health Organisation and United Nations
- (2012) Judith A. Finegold et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- Chronic Coronary Artery Disease: Diagnosis and Management
- (2009) Andrew Cassar et al. MAYO CLINIC PROCEEDINGS
- Logistic Regression
- (2008) Michael P. LaValley CIRCULATION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now