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...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Li, Yaowei, Zhang, Yao, Zhao, Lina, Zhang, Yang, Liu, Chengyu, Zhang, Li, Zhang, Liuxin, Li, Zhensheng, Wang, Binhua, Ng, Eyk, Li, Jianqing, He, Zhiqiang
Diğer Yazarlar: School of Mechanical and Aerospace Engineering
Materyal Türü: Journal Article
Dil:English
Baskı/Yayın Bilgisi: 2018
Konular:
Congestive Heart Failure
Convolutional Neural Network
DRNTU::Engineering::Electrical and electronic engineering
Online Erişim:https://hdl.handle.net/10356/88148
http://hdl.handle.net/10220/45646

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