Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory
Suez University · Princess Nourah bint Abdulrahman University · +5 more institutions
Abstract
Heart disease is a category of various conditions that affect the heart, which includes multiple diseases that influence its structure and operation. Such conditions may consist of coronary artery disease, which is characterized by the narrowing or clotting of the arteries that supply blood to the heart muscle, with the resulting threat of heart attacks. Heart rhythm disorders (arrhythmias), heart valve problems, congenital heart defects present at birth, and heart muscle disorders (cardiomyopathies) are other types of heart disease. The objective of this work is to introduce the Greylag Goose Optimization (GGO) algorithm, which seeks to improve the accuracy of heart disease classification. GGO algorithm's…
Citation impact
- FWCI
- 115.11
- Percentile
- 100%
- References
- 46
Authors
6Topics & keywords
- Computer science
- Heart disease
- Algorithm
- Artificial intelligence
- Binary classification
- Pattern recognition (psychology)
- Wilcoxon signed-rank test
- Friedman test