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A hybrid stacked autoencoder and support vector machines-based expert system for heart failure detection.

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第一作者： Mian Muhammad,Kamal

第一单位： School of Electronic and Communication Engineering, Quanzhou University of Information Engineering, Quanzhou, 362000, China. mianmuhammadkamal@qzuie.edu.cn.

作者： Mian Muhammad,Kamal ^[1] ; Wahab,Khan ^[2] ; Qusai Y,Shambour ^[3] ; Mahmoud Amr,Gafar ^[4] ; Abdulaziz,Alarifi ^[5] ; Muhammad,Sheraz ^[6] ; Teong Chee,Chuah ^[7]

作者单位： School of Electronic and Communication Engineering, Quanzhou University of Information Engineering, Quanzhou, 362000, China. mianmuhammadkamal@qzuie.edu.cn. ^[1] Department of Electrical Engineering, University of Science and Technology Bannu, Bannu, Pakistan. ^[2] Department of Data Science and Artificial Intelligence, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan. ^[3] Faculty of Medicine (FOM), Cairo University, Giza, Egypt. ^[4] Computer Science and Engineering Department, College of Applied Studies, Riyadh, 11437, Saudi Arabia. ^[5] Centre for Smart Systems and Automation, CoE for Robotics and Sensing Technologies, Faculty of Artificial Intelligence and Engineering, Cyberjaya, 63100, Selangor, Malaysia. ^[6] Centre for Smart Systems and Automation, CoE for Robotics and Sensing Technologies, Faculty of Artificial Intelligence and Engineering, Cyberjaya, 63100, Selangor, Malaysia. tcchuah@mmu.edu.my. ^[7]

关键词 [Formula: see text] penalized support vector machine Heart failure detection Regularization Stacked autoencoder

医学主题词心力衰竭(Heart Failure);人类(Humans);专家系统(Expert Systems);算法(Algorithms)

DOI 10.1038/s41598-025-34430-4

PMID 41507422

发布时间 2026-06-25

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