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Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression
[article]
2020
arXiv
pre-print
Alzheimer's disease (AD) is known as one of the major causes of dementia and is characterized by slow progression over several years, with no treatments or available medicines. In this regard, there have been efforts to identify the risk of developing AD in its earliest time. While many of the previous works considered cross-sectional analysis, more recent studies have focused on the diagnosis and prognosis of AD with longitudinal or time series data in a way of disease progression modeling
arXiv:2005.02643v2
fatcat:2vk3xjxp4vezveuovyi3npuxri