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Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis

Effective utilization of heterogeneous multi-modal data for Alzheimer’s Disease (AD) diagnosis and prognosis has always been hampered by incomplete data. One method to deal with this is low-rank matrix completion (LRMC), which simultaneous imputes missing data features and target values of interest....

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Med Image Comput Comput Assist Interv
Main Authors: Thung, Kim-Han, Adeli, Ehsan, Yap, Pew-Thian, Shen, Dinggang
Format: Artigo
Jezik:Inglês
Izdano: 2016
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5343765/
https://ncbi.nlm.nih.gov/pubmed/28286884
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-46723-8_11
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