Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission.
Siyi TangAmara TariqJared DunnmonUmesh SharmaPraneetha EluguntiDaniel RubinBhavik N. PatelImon BanerjeePublished in: CoRR (2022)
Keyphrases
- neural network
- prediction accuracy
- pattern recognition
- artificial neural networks to predict
- prediction algorithm
- prediction model
- graph representation
- multi modal
- artificial neural networks
- directed acyclic graph
- connected components
- multimedia
- graph structure
- genetic algorithm
- information systems
- weighted graph
- random walk
- bipartite graph
- spatial and temporal
- prediction error
- structured data
- multi layer perceptron
- graph theoretic
- neural networks and support vector machines
- directed graph
- neural nets
- self organizing maps
- graph model
- space time
- radial basis function network
- back propagation
- spatiotemporal patterns