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Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network.
Wei Liang
Kai Zhang
Peng Cao
Xiaoli Liu
Jinzhu Yang
Osmar R. Zaïane
Published in:
Comput. Biol. Medicine (2021)
Keyphrases
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recurrent neural networks
multi task learning
multi task
disease progression
neural network
mathematical modeling
learning tasks
gaussian processes
learning problems
feed forward
artificial neural networks
high order
transfer learning
breast cancer
clinical trials
high dimensional
theoretical analysis