Research Article |
Hybrid Optimization based Feature Selection with DenseNet Model for Heart Disease Prediction
Author(s): Dr. V. Gokula Krishnan1, Dr. M. V. Vijaya Saradhi2, Dr. S. Sai Kumar3, G. Dhanalakshmi4, P. Pushpan5 and Dr. V. Vijayaraja6
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 11, Issue 2
Publisher : FOREX Publication
Published : 30 April 2023
e-ISSN : 2347-470X
Page(s) : 253-261
Abstract
The prevalence of cardiovascular diseases (CVD) makes it one of the leading reasons of death worldwide. Reduced mortality rates may result from early detection of CVDs and their potential prevention or amelioration. Machine learning models are a promising method for identifying risk variables. In order to make accurate predictions about cardiovascular illness, we would like to develop a model that makes use of transfer learning. Our proposed model relies on accurate training data, which was generated by careful Data Collecting, Data Pre-processing, and Data Transformation procedures.
Keywords: Cardiovascular diseases
, Data Pre-processing
, Convolutional neural networks
, Butterfly Optimization Algorithm
, Early diagnosis
.
Dr. V. Gokula Krishnan*, Professor, Department of CSE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai, Tamil Nadu, India; Email: gokul_kris143@yahoo.com
Dr. M. V. Vijaya Saradhi, Professor and Head, Department of CSE, ACE Engineering College, Ghatkesar, Hyderabad, Telangana, India; Email: meduri.vsd@gmail.com
Dr. S. Sai Kumar, Assistant Professor, Department of IT, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India; Email: saikumar@pvpsit.ac.in
G. Dhanalakshmi, Associate Professor, Department of IT, Panimalar Engineering College, Poonamallee, Chennai, Tamil Nadu, India; Email: dhanalakshmi4481@gmail.com
P. Pushpa, Assistant Professor, Department of AIDS, Rajalakshmi Institute of Technology, Kuthambakkam, Chennai, Tamil Nadu, India; Email: ppushpacse88@gmail.com
Dr. V. Vijayaraja, Research Scholar, Department of AIDS, R M K College of Engineering and Technology, Kavaraipettai, Tamil Nadu, India; Email: vijayarajaads@rmkcet.ac.in
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