Predicting Hospital-Acquired Sepsis using Temporal Probabilistic Models.

Eungyoung Han Kathryn Gibb Kuttler John Holmen Peter J. Haug

Published in: AMIA (2012)

Keyphrases

probabilistic model
graphical models
temporal trends
bayesian inference
spatio temporal
latent variables
temporal information
temporal data
language model

expectation maximization
generative model
temporal relations
temporal constraints
probabilistic modeling
health care
conditional random fields
spatial and temporal
temporal reasoning

neural network
initial stage
temporal analysis
temporal evolution
bayesian networks
databases
hidden variables
information systems
temporal databases

high risk
k means
temporal dimension
topic models
em algorithm
intensive care unit
temporal characteristics
higher order
information retrieval systems