The Library
Diagnosis of chronic ischemic heart disease using machine learning techniques
Tools
Shehzadi, Shumaila, Hassan, Muhammad Abul, Rizwan, Muhammad, Kryvinska, Natalia and Vincent, Karovič (2022) Diagnosis of chronic ischemic heart disease using machine learning techniques. Computational Intelligence and Neuroscience, 2022 . 3823350. doi:10.1155/2022/3823350 ISSN 1687-5265.
|
PDF
WRAP-diagnosis-chronic-ischemic-heart-disease-using-machine-learning-techniques-Rizwan-2022.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (543Kb) | Preview |
Official URL: https://doi.org/10.1155/2022/3823350
Abstract
Ischemic heart disease (IHD) causes discomfort or irritation in the chest. According to the World Health Organization, coronary heart disease is the major cause of mortality in Pakistan. Accurate model with the highest precision is necessary to avoid fatalities. Previously several models are tried with different attributes to enhance the detection accuracy but failed to do so. In this research study, an artificial approach to categorize the current stage of heart disease is carried out. Our model predicts a precise diagnosis of chronic diseases. The system is trained using a training dataset and then tested using a test dataset. Machine learning methods such as LR, NB, and RF are applied to forecast the development of a disease. Experimental outcomes of this research study have proven that our strategy has excelled other procedures with maximum accuracy of 99 percent for RF, 97 percent for NB, and 98 percent for LR. With such high accuracy, the number of deaths per year of ischemic heart disease will be slightly decreased.
Item Type: | Journal Article | ||||||
---|---|---|---|---|---|---|---|
Subjects: | R Medicine > RC Internal medicine | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Library of Congress Subject Headings (LCSH): | Arteriosclerosis, Heart -- Diseases -- Treatment -- Decision making, Clinical medicine -- Decision making -- Data processing, Medicine -- Data processing, Diagnosis -- Data processing, Decision support systems | ||||||
Journal or Publication Title: | Computational Intelligence and Neuroscience | ||||||
Publisher: | Hindawi Publishing Corporation | ||||||
ISSN: | 1687-5265 | ||||||
Official Date: | 14 June 2022 | ||||||
Dates: |
|
||||||
Volume: | 2022 | ||||||
Article Number: | 3823350 | ||||||
DOI: | 10.1155/2022/3823350 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 27 July 2022 | ||||||
Date of first compliant Open Access: | 28 July 2022 |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year