Can C-Reactive Protein (CRP) Time Series Forecasting be Achieved via Deep Learning?

Can C-Reactive Protein (CRP) Time Series Forecasting be Achieved via Deep Learning?

C-reactive protein (CRP) is a biomarker of inflammation and is widely considered as an indicator of cancer prognosis, risk, and recurrence in clinical experiments. Investigating the properties and behaviors of CRP time series has recently emerged as an area of significant interest in informing clini...

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Bibliographic Details
Main Authors: Mohsen Dorraki, Anahita Fouladzadeh, Stephen J. Salamon, Andrew Allison, Brendon J. Coventry, Derek Abbott
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biomedical engineering
forecasting
autoregressive modeling
ARIMA
machine learning
deep learning
Online Access:https://ieeexplore.ieee.org/document/8704717/

Internet

https://ieeexplore.ieee.org/document/8704717/

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