FT-GAT: Graph neural network for predicting spontaneous breathing trial success in patients with mechanical ventilation.
Geun-Hyeong KimJae-Woo KimKa-Hyun KimHyeran KangJae Young MoonYoon Mi ShinSeung ParkPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- neural network
- graph model
- graph theory
- pattern recognition
- graph structure
- genetic algorithm
- back propagation
- self organizing maps
- medical data
- random walk
- artificial neural networks
- directed graph
- patient data
- graph theoretic
- connected components
- clinical data
- weighted graph
- high risk
- graph databases
- air conditioning
- bipartite graph
- bp neural network
- recurrent neural networks
- feed forward
- neural network model
- radial basis function
- structured data