Predicting Clinical Events via Graph Neural Networks.
Teja KanchinadamShaheen GauherPublished in: ICMLA (2022)
Keyphrases
- neural network
- back propagation
- artificial neural networks
- event detection
- graph based algorithm
- clinical data
- graph structure
- graph model
- structured data
- directed graph
- spanning tree
- fuzzy logic
- pattern recognition
- graph matching
- directed acyclic graph
- genetic algorithm
- bipartite graph
- graph theory
- clinical practice
- graph representation
- activation function
- neural nets
- multi layer
- multilayer perceptron
- feed forward
- neural network model
- fault diagnosis
- graph mining
- radial basis function
- temporal information
- self organizing maps
- medical domain
- event sequences
- clinical guidelines
- social networks
- acute coronary syndrome