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


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… (More)
DOI: 10.1109/TNNLS.2016.2520964


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