Develop and Evaluate a New and Effective Approach for Predicting Dyslipidemia in Steel Workers

Develop and Evaluate a New and Effective Approach for Predicting Dyslipidemia in Steel Workers

The convolutional neural network (CNN) has made certain progress in image processing, language processing, medical information processing and other aspects, and there are few relevant researches on its application in disease risk prediction. Dyslipidemia is a major and modifiable risk factor for car...

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Bibliographic Details
Main Authors: Jianhui Wu, Sheng Qin, Jie Wang, Jing Li, Han Wang, Huiyuan Li, Zhe Chen, Chao Li, Jiaojiao Wang, Juxiang Yuan
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
deep learning
convolutional neural network
dyslipidemia
steel worker
disease model prediction
model performance comparison
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.00839/full

Internet

https://www.frontiersin.org/article/10.3389/fbioe.2020.00839/full

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