Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization-Reference-Cited by-同舟云学术

Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization

Published:2024 Issue: Volume:12 Page:107119-107143
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mahmood Tariq¹^ORCID,Rehman Amjad¹^ORCID,Saba Tanzila¹^ORCID,Alahmadi Tahani Jaser²^ORCID,Tufail Muhammad³,Bahaj Saeed Ali Omer⁴^ORCID,Ahmad Zohaib⁵

Affiliation:

1. Artificial Intelligence and Data Analytics (AIDA) Laboratory, College of Computer and Information Science (CCIS), Prince Sultan University, Riyadh, Saudi Arabia

2. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box, 84428, Riyadh, Saudi Arabia

3. Department of Computer Science, Government Post Graduate College Nowshera, Nowshera, Pakistan

4. MIS Department, College of Business Administration, Prince Sattam Bin Abdulaziz University, AlKharj, Saudi Arabia

5. Department of Criminology and Forensics Sciences, Lahore Garrison University, Lahore, Pakistan

Funder

Princess Nourah Bint Abdulrahman University Researchers Supporting Project number

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10614595.pdf?arnumber=10614595

Reference89 articles.

1. Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis

2. Predicting the Onset of Diabetes with Machine Learning Methods

3. Heart Disease and Stroke Statistics—2021 Update