Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data.
Elena SokolovaPerry GrootTom ClaassenDaniel von RheinJan K. BuitelaarTom HeskesPublished in: AIME (2015)
Keyphrases
- continuous data
- medical data
- missing values
- causal discovery
- discrete data
- causal models
- medical images
- causal relationships
- missing data
- discovery process
- continuous attributes
- incomplete data
- bayesian networks
- data streams
- directed acyclic graph
- data mining
- high dimensional data
- conditional independence
- categorical data
- noisy data
- expectation maximization
- learning algorithm
- graphical models
- feature vectors
- pattern recognition