Observational Study
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Methodol. Jun 20, 2024; 14(2): 92608
Published online Jun 20, 2024. doi: 10.5662/wjm.v14.i2.92608
Discovering hidden patterns: Association rules for cardiovascular diseases in type 2 diabetes mellitus
Pradeep Kumar Dabla, Kamal Upreti, Dharmsheel Shrivastav, Vimal Mehta, Divakar Singh
Pradeep Kumar Dabla, Dharmsheel Shrivastav, Department of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, Delhi 110002, India
Kamal Upreti, Department of Computer Science, CHRIST, Ghaziabad 201003, India
Vimal Mehta, Department of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, Delhi 110002, India
Divakar Singh, Barkatullah University Institute of Technology, Barkatullah University, Bhopal 462026, India
Author contributions: Dabla PK designed the research; Dabla PK and Shrivastav D performed the research; Mehta V contributed to patient clinical data & sample collection; Upreti K and Shrivastav D contributed analytic tools and analyzed the data; Upreti K, Singh D, and Dabla PK wrote the paper; all authors have accepted responsibility for the entire content of this manuscript, and reviewed and approved its submission.
Institutional review board statement: The study was approved by the institutional ethical committee of Maulana Azad Medical College and associated hospitals, Delhi, India (F1/IEC/MAMC/85/03/21/no.422; Dt-30.08.2021).
Informed consent statement: All patients gave informed consent prior to the participation in the study.
Conflict-of-interest statement: No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article. All authors declare no conflict of interest for this article.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at pradeep_dabla@yahoo.com.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Pradeep Kumar Dabla, MD, Professor, Department of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, Jawaharlal Nehru Marg, New Delhi, Delhi 110002, India. pradeep_dabla@yahoo.com
Received: January 30, 2024
Revised: March 15, 2024
Accepted: April 9, 2024
Published online: June 20, 2024
Processing time: 135 Days and 16.2 Hours
Core Tip

Core Tip: The study is aimed to apply association rule mining (ARM) to discover the correlation between type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD). ARM leverages clinical and laboratory data to the meaningful patterns for diabetic CAD by harnessing the power help of data-driven algorithms. It will assist to optimise the decision-making in patient care by providing new insights into multivariate pattern discovery. Thus, this research facilitates targeted medication for patients to regulate uncontrolled clinical parameters in case of CAD with T2DM.