Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables.
Leila YousefiLucia SacchiRiccardo BellazziLuca ChiovatoAllan TuckerPublished in: CBMS (2017)
Keyphrases
- latent variables
- dynamic bayesian networks
- approximate inference
- probabilistic model
- exact inference
- gaussian process
- bayesian networks
- random variables
- posterior distribution
- topic models
- prior knowledge
- graphical models
- hidden variables
- particle filtering
- generative model
- probabilistic inference
- conditional probabilities
- structure learning
- machine learning
- decision trees