Cox Proportional Hazard Regression Versus a Deep Learning Algorithm in the Prediction of Dementia: An Analysis Based on Periodic Health Examination.
Woo Jung KimJi Min SungDavid SungMyeong Hun ChaeSuk Kyoon AnKee NamkoongEun LeeSeo Young SongPublished in: JMIR medical informatics (2019)
A deep learning algorithm using time-series data can be an accurate and cost-effective method to predict dementia. A combination of deep learning and proportional hazards models might help to enhance prevention strategies for dementia.
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