RideNN‐OptDRN: Heart disease detection using RideNN based feature fusion and optimized deep residual network-Reference-Cited by-同舟云学术

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RideNN‐OptDRN: Heart disease detection using RideNN based feature fusion and optimized deep residual network

Published:2022-10 Issue:28 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Merugula Suneetha¹^ORCID,Padmaja Buddi²,Veerubommu Ragavi³

Affiliation:

1. Department of CSE GITAM School of Technology, GITAM (Deemed to be University) Visakhapatnam India

2. Department of CSE (AI& ML) Institute of Aeronautical Engineering Hyderabad India

3. Department of Computer Applications Sri Krishna College of Engineering and Technology Coimbatore India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7355

Reference28 articles.

1. Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease

2. Heart disease prediction using long short‐term memory (LSTM) deep learning methodology;Vani KD;Int J Res Publication Rev,2021

3. Heart disease prediction using CNN, deep learning model;Harkulkar N;Int J Res Appl Sci Eng Technol,2020

4. A survey on data mining techniques for prediction of heart diseases;Kumar BS;IOSR J Eng,2018

5. A predictive model for heart disease detection using data mining techniques;Premsmith J;J Adv Inf Technol,2021

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