Combining convolutional neural network and distance distribution matrix for identification of congestive heart failure

Combining convolutional neural network and distance distribution matrix for identification of congestive heart failure

Congestive heart failure (CHF) is a serious pathophysiological condition with high morbidity and mortality, which is hard to predict and diagnose in early age. Artificial intelligence and deep learning combining with cardiac rhythms and physiological time series provide a potential to help in solvin...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों:	Li, Yaowei, Zhang, Yao, Zhao, Lina, Zhang, Yang, Liu, Chengyu, Zhang, Li, Zhang, Liuxin, Li, Zhensheng, Wang, Binhua, Ng, Eyk, Li, Jianqing, He, Zhiqiang
अन्य लेखक:	School of Mechanical and Aerospace Engineering
स्वरूप:	Journal Article
भाषा:	English
प्रकाशित:	2018
विषय:	Congestive Heart Failure Convolutional Neural Network DRNTU::Engineering::Electrical and electronic engineering
ऑनलाइन पहुंच:	https://hdl.handle.net/10356/88148 http://hdl.handle.net/10220/45646

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