Deep Feature Learning for Disease Risk Assessment Based on Convolutional Neural Network With Intra-Layer Recurrent Connection by Using Hospital Big Data

Deep Feature Learning for Disease Risk Assessment Based on Convolutional Neural Network With Intra-Layer Recurrent Connection by Using Hospital Big Data

This paper presents the analysis of real-life medical big data obtained from a hospital in central China from 2013 to 2015 for risk assessment of cerebral infarction disease. We propose a new recurrent convolutional neural network (RCNN)-based disease risk assessment multimodel by utilizing structur...

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Bibliographic Details
Main Authors: Mohd Usama, Belal Ahmad, Jiafu Wan, M. Shamim Hossain, Mohammed F. Alhamid, M. Anwar Hossain
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
feature learning
medical big data
disease risk assessment
Online Access:https://ieeexplore.ieee.org/document/8519726/

Internet

https://ieeexplore.ieee.org/document/8519726/

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