Corpus ID: 218628835

Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)

@article{Vivar2020SimultaneousIA,
  title={Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)},
  author={Gerome Vivar and Anees Kazi and Hendrik Burwinkel and A. Zwergal and N. Navab and Seyed-Ahmad Ahmadi},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.06935}
}
Large-scale population-based studies in medicine are a key resource towards better diagnosis, monitoring, and treatment of diseases. They also serve as enablers of clinical decision support systems, in particular Computer Aided Diagnosis (CADx) using machine learning (ML). Numerous ML approaches for CADx have been proposed in literature. However, these approaches assume full data availability, which is not always feasible in clinical data. To account for missing data, incomplete data samples… Expand

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