Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification

作者：

Highlights：

• Superior model for decision support systems on incomplete real-life medical datasets.

• End-to-end imputation and classification using Geometric Matrix Completion (GMC).

• Multi-graph population models (MGMC) increase robustness and accuracy.

摘要

•Superior model for decision support systems on incomplete real-life medical datasets.•End-to-end imputation and classification using Geometric Matrix Completion (GMC).•Multi-graph population models (MGMC) increase robustness and accuracy.

论文关键词：Computer-aided diagnosis,CADx,Deep learning,Multimodal medical data,Population-based studies

论文评审过程：Received 16 November 2020, Revised 4 May 2021, Accepted 5 May 2021, Available online 8 May 2021, Version of Record 23 May 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102097