Using Ubiquitous Mobile Sensing and Temporal Sensor-Relation Graph Neural Network to Predict Fluid Intake of End Stage Kidney Patients.
Mingyue TangGuimin DongJamie ZoellnerBrendan BowmanEmaad Abel-RahmanMehdi BoukhechbaPublished in: IPSN (2022)
Keyphrases
- neural network
- sensor networks
- wearable sensors
- sensor fusion
- location aware
- real time
- mobile sensor
- context aware
- mobile sensor networks
- ubiquitous environment
- sensor data
- graph representation
- sensing devices
- spatio temporal
- back propagation
- data acquisition
- graph structure
- image sensor
- mobile communication
- initial stage
- artificial neural networks
- mobile devices
- temporal information
- mobile applications
- ubiquitous computing
- weighted graph
- preprocessing stage
- directed graph
- spatial and temporal
- structured data
- mobile phone
- random walk
- temporal databases
- temporal data
- temporal patterns
- temporal reasoning
- graph theoretic
- pervasive computing
- middleware architecture
- micro controller
- computing environments
- multi sensor
- temporal constraints
- mobile learning
- clinical information
- continuous monitoring
- wireless sensor networks
- medical data
- clinical data
- mobile computing