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6/14/2024 9:10:00 AM | Browse: 76 | Download: 255
Publication Name World Journal of Methodology
Manuscript ID 92608
Country India
Received
2024-01-30 17:11
Peer-Review Started
2024-01-30 17:11
To Make the First Decision
Return for Revision
2024-02-08 04:02
Revised
2024-02-20 05:04
Second Decision
2024-04-09 03:14
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2024-04-09 07:23
Articles in Press
2024-04-09 07:23
Publication Fee Transferred
Edit the Manuscript by Language Editor
2024-04-15 03:31
Typeset the Manuscript
2024-06-05 08:36
Publish the Manuscript Online
2024-06-14 09:10
ISSN 2222-0682 (online)
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: http://creativecommons.org/licenses/by-nc/4.0/
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Biochemical Research Methods
Manuscript Type Observational Study
Article Title Discovering hidden patterns: Association rules for cardiovascular diseases in type 2 diabetes mellitus
Manuscript Source Invited Manuscript
All Author List Pradeep Kumar Dabla, Kamal Upreti, Dharmsheel Shrivastav, Vimal Mehta and Divakar Singh
ORCID
Author(s) ORCID Number
Pradeep Kumar Dabla http://orcid.org/0000-0003-1409-6771
Funding Agency and Grant Number
Corresponding Author Pradeep Kumar Dabla, MD, Professor, Department of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research,, Delhi 110002, India. pradeep_dabla@yahoo.com
Key Words Coronary artery disease; Type 2 diabetes mellitus; Coronary angiography; association rule mining; Artificial intelligence
Core Tip The study is aimed to apply association rule mining (ARM) to discover the correlation between of 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.
Publish Date 2024-06-14 09:10
Citation <p>Dabla PK, Upreti K, Shrivastav D, Mehta V, Singh D. Discovering hidden patterns: Association rules for cardiovascular diseases in type 2 diabetes mellitus. <i>World J Methodol</i> 2024; 14(2): 92608</p>
URL https://www.wjgnet.com/2222-0682/full/v14/i2/92608.htm
DOI https://dx.doi.org/10.5662/wjm.v14.i2.92608
Full Article (PDF) WJM-14-92608-with-cover.pdf
STROBE Statement 92608-STROBE-statement.pdf
Manuscript File 92608_Auto_Edited-LJH-YJP_WangTQ.docx
Answering Reviewers 92608-answering-reviewers.pdf
Audio Core Tip 92608-audio.m4a
Biostatistics Review Certificate 92608-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 92608-conflict-of-interest-statement.pdf
Copyright License Agreement 92608-copyright-assignment.pdf
Signed Informed Consent Form(s) or Document(s) 92608-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document 92608-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate 92608-non-native-speakers.pdf
Peer-review Report 92608-peer-reviews.pdf
Scientific Misconduct Check 92608-scientific-misconduct-check.png
Scientific Misconduct Check 92608-scientific-misconduct-check.png
Scientific Editor Work List 92608-scientific-editor-work-list.pdf
CrossCheck Report 92608-crosscheck-report.pdf