Prediction of Cannabis Addictive Patients with Graph Neural Networks.
Shulin WenShihao YangXinglong JuTing LiaoFeng LiuPublished in: BI (2023)
Keyphrases
- neural network
- prediction model
- artificial neural networks to predict
- pattern recognition
- graph representation
- prediction accuracy
- neural networks and support vector machines
- directed graph
- multi layer perceptron
- radial basis function network
- prediction error
- prediction algorithm
- graph structure
- graph theory
- feed forward
- acute coronary syndrome
- graph matching
- neural network ensemble
- artificial neural networks
- patient records
- patient data
- graph theoretic
- predictive model
- genetic algorithm
- graph model
- clinical data
- weighted graph
- structured data
- undirected graph
- graph databases
- medical data
- training process
- self organizing maps
- fault diagnosis
- short term prediction
- body mass index
- back propagation
- fuzzy logic