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An efficient patient's response predicting system using multi-scale dilated ensemble network framework with optimization strategy.

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第一作者： Nalini,Manogaran

第一单位： Department of CSE, S.A. Engineering College (Autonomous), Chennai, 600077, Tamil Nadu, India.

作者： Nalini,Manogaran ^[1] ; Nirupama,Panabakam ^[2] ; Durai,Selvaraj ^[3] ; Koteeswaran,Seerangan ^[4] ; Firoz,Khan ^[5] ; Shitharth,Selvarajan ^[6]

作者单位： Department of CSE, S.A. Engineering College (Autonomous), Chennai, 600077, Tamil Nadu, India. ^[1] Department of CSE, VEMU Institute of Technology, Chitoor, 517112, Andhra Pradesh, India. ^[2] Department of CSE, School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 600062, Tamil Nadu, India. ^[3] Department of CSE (AI and ML), S.A. Engineering College (Autonomous), Chennai, 600077, Tamil Nadu, India. ^[4] Centre for Information and Communication Sciences, Ball State University, Muncie, USA. ^[5] Department of Computer Science, Kebri Dehar University, 250, Kebri Dehar, Ethiopia. ShitharthS@kdu.edu.et.;Department of Computer Science and Engineering, Chennai Institute of Technology, Chennai, India. ShitharthS@kdu.edu.et.;Centre for Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India. ShitharthS@kdu.edu.et. ^[6]

关键词 Long-short term memory Multi-scale dilated ensemble network One-dimensional convolutional neural networks Patient’s response prediction Recurrent neural network Repeated exploration and exploitation-based coati optimization algorithm

医学主题词人类(Humans);算法(Algorithms);预后(Prognosis);肿瘤(Neoplasms)

DOI 10.1038/s41598-025-00401-y

PMID 40325044

发布时间 2025-05-08

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准确一般字义偏差语意偏离译文作用小提交