Applying Conditional Independence Maps to Improve Sepsis Prognosis.
Carles MoralesVicent J. RibasAlfredo VellidoPublished in: ICDM Workshops (2016)
Keyphrases
- conditional independence
- bayesian networks
- random variables
- learning bayesian networks
- graphical models
- structure learning
- axiomatic characterization
- causal models
- probability distribution
- probability theory
- causal discovery
- bayesian network structure
- statistical independence
- neural network
- semi supervised
- machine learning
- initial stage