Modeling disease progression via multi-task learning
Modeling disease progression via multi-task learning
About this item
Full title
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Publisher
Amsterdam: Elsevier Inc
Journal title
Language
English
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Publication information
Publisher
Amsterdam: Elsevier Inc
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Scope and Contents
Contents
Alzheimer's disease (AD), the most common type of dementia, is a severe neurodegenerative disorder. Identifying biomarkers that can track the progress of the disease has recently received increasing attentions in AD research. An accurate prediction of disease progression would facilitate optimal decision-making for clinicians and patients. A defini...
Alternative Titles
Full title
Modeling disease progression via multi-task learning
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Record Identifier
TN_cdi_proquest_miscellaneous_1500767958
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1500767958
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2013.03.073
