An efficient cardiovascular disease detection model based on multilayer perceptron and moth‐flame optimization-Reference-Cited by-同舟云学术

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An efficient cardiovascular disease detection model based on multilayer perceptron and moth‐flame optimization

Published:2021-12-02 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Ahmadian Sajad¹^ORCID,Jalali Seyed Mohammad Jafar²,Raziani Saeid³,Chalechale Abdolah³^ORCID

Affiliation:

1. Faculty of Information Technology Kermanshah University of Technology Kermanshah Iran

2. Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University Geelong Victoria Australia

3. Department of Computer Engineering Razi University Kermanshah Iran

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12914

Reference77 articles.

1. Survival analysis of heart failure patients: A case study;Ahmad T.;PLoS One,2017

2. An effective social recommendation method based on user reputation model and rating profile enhancement;Ahmadian S.;Journal of Information Science,2019

3. A novel approach based on multi‐view reliability measures to alleviate data sparsity in recommender systems;Ahmadian S.;Multimedia Tools and Applications,2019

4. AhmadianS. JoorablooN. JaliliM. MeghdadiM. AfsharchiM. &Ren Y.(2018).A temporal clustering approach for social recommender systems. In:The IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM).

5. A social recommender system based on reliable implicit relationships;Ahmadian S.;Knowledge‐Based Systems,2020

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