Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability.
Noémie ElhadadIñigo UrteagaAlison CallahanJenna RepsPatrick B. RyanPublished in: AMIA (2019)
Keyphrases
- prior knowledge
- network structure
- network model
- learned models
- simulation data
- learning models
- experimental data
- data sets
- empirical data
- hidden variables
- sensory data
- input data
- test data
- learning process
- connectionist networks
- measurement data
- learning algorithm
- reinforcement learning
- raw data
- data analysis
- computational model
- data collection
- data structure
- spiking neural networks
- knowledge discovery
- active learning
- learning scheme
- database
- measured data
- neural network
- multilayer neural network
- microarray
- xml documents
- data sources
- data transfer
- bayesian methods
- probabilistic model
- training data
- bayesian networks
- supervised learning
- learning tasks
- statistical methods