GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series.
Chengzhe PiaoTaiyu ZhuStephanie E. BaldewegPaul TaylorPantelis GeorgiouJiahao SunJun WangKezhi LiPublished in: CoRR (2024)
Keyphrases
- recurrent neural networks
- multivariate time series
- blood glucose
- multivariate time series data
- neural network
- feed forward
- recurrent networks
- temporal data
- autoregressive
- temporal patterns
- categorical data
- diabetes mellitus
- artificial neural networks
- blood pressure
- diabetic patients
- dimension reduction
- spatial structure
- short term and long term
- feature extraction
- temporal reasoning
- short term
- fuzzy logic
- chaotic time series