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Updated: Jun 12, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

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一个新的适应性重量双向长短期记忆 (AWBi-LSTM) 分类器模型,用于在物联网中预测心脏病发作风险水平

S Thumilvannan1, R Balamanigandan1

  • 1Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Saveetha University, Chennai, Tamilnadu, India.

PeerJ. Computer science
|September 24, 2024
PubMed
概括

这项研究引入了适应性重量双向长期短期记忆 (AWBi-LSTM) 模型,用于使用物联网数据准确预测中风风险. 这种新的方法达到99.6%的准确性,在识别高风险个体方面明显超过现有方法.

关键词:
相关的特征是相关的特征.大象群优化算法 (EHOA)改进的受限制的博尔茨曼机器 (IRBM)物联网 (IoT) 的物联网 (IoT) 的物联网.预测中风的预测

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