DYNAMIC THRESHOLDING GA-BASED ECG FEATURE SELECTION IN CARDIOVASCULAR DISEASE DIAGNOSIS
DOI:
https://doi.org/10.25195/ijci.v49i2.456Keywords:
ECG, Genetic Algorithm, Feature Selection, Dynamic ThresholdingAbstract
Electrocardiogram (ECG) data are usually used to diagnose cardiovascular disease (CVD) with the help of a revolutionary algorithm. Feature selection is a crucial step in the development of accurate and reliable diagnostic models for CVDs. This research introduces the dynamic threshold genetic algorithm (DTGA) algorithm, a type of genetic algorithm that is used for optimization problems and discusses its use in the context of feature selection. This research reveals the success of DTGA in selecting relevant ECG features that ultimately enhance accuracy and efficiency in the diagnosis of CVD. This work also proves the benefits of employing DTGA in clinical practice, including a reduction in the amount of time spent diagnosing patients and an increase in the precision with which individuals who are at risk of CVD can be identified.
Downloads
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
IJCI applies the Creative Commons Attribution (CC BY) license to articles. The author of the submitted paper for publication by IJCI has the CC BY license. Under this Open Access license, the author gives an agreement to any author to reuse the article in whole or part for any purpose, even for commercial purposes. Anyone may copy, distribute, or reuse the content as long as the author and source are properly cited. This facility helps in re-use and ensures that journal content is available for the needs of research.
If the manuscript contains photos, images, figures, tables, audio files, videos, etc., that the author or the co-authors do not own, IJCI will require the author to provide the journal with proof that the owner of that content has given the author written permission to use it, and the owner has approved that the CC BY license being applied to content. IJCI provides a form that the author can use to ask for permission from the owner. If the author does not have owner permission, IJCI will ask the author to remove that content and/or replace it with other content that the author owns or has such permission to use.
Many authors assume that if they previously published a paper through another publisher, they have the right to reuse that content in their PLOS paper, but that is not necessarily the case – it depends on the license that covers the other paper. The author must ascertain the rights he/she has of a specific license (a license that enables the author to use the content). The author must obtain written permission from the publisher to use the content in the IJCI paper. The author should not include any content in her/his IJCI paper without having the right to use it, and always give proper attribution.
The accompanying submitted data should be stated with licensing policies, the policies should not be more restrictive than CC BY.
IJCI has the right to remove photos, captures, images, figures, tables, illustrations, audio, and video files, from a paper before or after publication, if these contents were included in the author's paper without permission from the owner of the content.
