MD-Manifold: A Medical Distance Based Manifold Learning Approach for Heart Failure Readmission Prediction.
Shaodong WangQing LiWenli ZhangPublished in: HICSS (2021)
Keyphrases
- manifold learning
- heart failure
- low dimensional
- diffusion maps
- heart disease
- manifold learning algorithm
- health care
- dimensionality reduction
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- laplacian eigenmaps
- manifold structure
- dimension reduction
- feature extraction
- locally linear embedding
- nonlinear manifold
- chronic disease
- low dimensional manifolds
- high dimensional data
- feature space
- clinical decision support systems
- intrinsic manifold
- geodesic distance
- head pose estimation
- medical records
- riemannian manifolds
- medical data
- euclidean distance
- principal component analysis
- image segmentation
- machine learning
- normal subjects
- sparse representation
- signal processing