Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm-Reference-Cited by-同舟云学术

Enhancing Coronary Artery Disease Classification Using Optimized MLP Based on Genetic Algorithm

Published:2024 Issue: Volume: Page:108-117
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Hashemi Mohammad^ORCID,Komamardakhi Seyedeh Somayeh Salehi^ORCID,Maftoun Mohammad^ORCID,Zare Omid^ORCID,Joloudari Javad Hassannataj^ORCID,Nematollahi Mohammad Ali^ORCID,Alizadehsani Roohallah^ORCID,Sala Pietro^ORCID,Gorriz Juan M^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-61140-7_11

Reference12 articles.

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3. Gupta, A., Kumar, R., Arora, H.S., Raman, B.: C-CADZ: computational intelligence system for coronary artery disease detection using z-alizadeh sani dataset. Appl. Intell. 52(3), 2436–2464 (2022). https://doi.org/10.1007/S10489-021-02467-3

4. Jin, Z., Li, N.: Diagnosis of each main coronary artery stenosis based on whale optimization algorithm and stacking model. Math. Biosci. Eng. 19(5), 4568–4591 (2022)

5. Khozeimeh, F., et al.: ALEC: active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158, 106841 (2023). https://doi.org/10.1016/J.COMPBIOMED.2023.106841