International Journal of Innovative Research in Computer and Communication Engineering

ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |


papers

Advancing Cardiac Arrhythmia Diagnosis: A Hybrid Machine Learning Model Integrating Random Forest and Logistic Regression for Enhanced Classification Accuracy

R.Monica Lakshmi, Manimaran.T, Muhamed Aadhil.S, Sai Ganesan M

Assistant Professor, Department of CSBS, R.M.D Engineering College, Chennai, India

4th Year UG Scholar, Department of CSBS, R.M.D Engineering College, Chennai, India

DOI: 10.15680/IJIRCCE.2024.1211009

PDF pdf/wpcOt6Rfu4aPRHhqYiFddZRKWsEO94icKYMgpcC2.pdf
Copyright © IJIRCCE 2020.All right reserved