Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease.

Liqiang Nie,Luming Zhang,Lei Meng,Xuemeng Song,Xiaojun Chang,Xuelong Li

IEEE Transactions on Neural Networks and Learning Systems（2017）

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摘要

Understanding the progression of chronic diseases can empower the sufferers in taking proactive care. To predict the disease status in the future time points, various machine learning approaches have been proposed. However, a few of them jointly consider the dual heterogeneities of chronic disease progression. In particular, the predicting task at each time point has features from multiple sources...

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关键词

Data models,Predictive models,Learning systems,Alzheimer's disease,Medical diagnostic imaging

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