Dynamic Bayesian Networks to predict sequences of organ failures in patients admitted to ICU.
Micol SandriPaola BerchiallaIleana BaldiDario GregoriRoberto Alberto De BlasiPublished in: J. Biomed. Informatics (2014)
Keyphrases
- dynamic bayesian networks
- intensive care unit
- intensive care units
- bayesian networks
- decision support system
- medical data
- high risk
- intensive care
- clinical data
- blood pressure
- medical images
- particle filtering
- approximate inference
- structure learning
- hidden markov models
- state variables
- liver disease
- graphical models
- heart rate
- medical knowledge
- conditional independence
- support vector
- visual tracking
- three dimensional