Back to Search
Start Over
Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions
- Source :
- Computational and Mathematical Methods in Medicine, Vol 2022 (2022)
- Publication Year :
- 2022
- Publisher :
- Hindawi Limited, 2022.
-
Abstract
- 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 (CAD) and chronic heart failure (CHF) often lead to heart attack. Traditional medical procedures (angiography) for the diagnosis of heart disease have higher cost as well as serious health concerns. Therefore, researchers have developed various automated diagnostic systems based on machine learning (ML) and data mining techniques. ML-based automated diagnostic systems provide an affordable, efficient, and reliable solutions for heart disease detection. Various ML, data mining methods, and data modalities have been utilized in the past. Many previous review papers have presented systematic reviews based on one type of data modality. This study, therefore, targets systematic review of automated diagnosis for heart disease prediction based on different types of modalities, i.e., clinical feature-based data modality, images, and ECG. Moreover, this paper critically evaluates the previous methods and presents the limitations in these methods. Finally, the article provides some future research directions in the domain of automated heart disease detection based on machine learning and multiple of data modalities.
- Subjects :
- Heart Failure
Databases, Factual
General Immunology and Microbiology
Applied Mathematics
Computer applications to medicine. Medical informatics
R858-859.7
Computational Biology
Arrhythmias, Cardiac
Coronary Artery Disease
General Medicine
General Biochemistry, Genetics and Molecular Biology
Machine Learning
Electrocardiography
Modeling and Simulation
Image Interpretation, Computer-Assisted
Data Mining
Humans
Diagnosis, Computer-Assisted
Neural Networks, Computer
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 17486718
- Volume :
- 2022
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Methods in Medicine
- Accession number :
- edsair.doi.dedup.....76b5804d6373317f32537ddce0186d03