Research on Risk Prediction of Dyslipidemia in Steel Workers Based on Recurrent Neural Network and LSTM Neural Network

Research on Risk Prediction of Dyslipidemia in Steel Workers Based on Recurrent Neural Network and LSTM Neural Network

With the development of medical digitization technology, artificial intelligence and big data technology, the medical model is gradually changing from treatment-oriented to prevention-oriented. In recent years, with the rise of artificial neural networks, especially deep learning, great achievements...

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Bibliographic Details
Main Authors: Shiyue Cui, Chao Li, Zhe Chen, Jiaojiao Wang, Juxiang Yuan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dyslipidemia
risk prediction
deep learning
RNN
LSTM
Online Access:https://ieeexplore.ieee.org/document/9001127/

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