A flexible framework for coding and predicting acute hypotensive episodes using Markov chains.
Hiram Galeana-ZapiénEdwin Aldana-BobadillaJaime Arciniegas-GarcíaJordy Vargas-GómezJosé Villalobos-SilvaPublished in: Knowl. Based Syst. (2024)
Keyphrases
- markov chain
- steady state
- markov process
- random walk
- finite state
- transition probabilities
- markov processes
- stationary distribution
- monte carlo
- markov model
- state space
- monte carlo simulation
- monte carlo method
- stochastic process
- assemble to order systems
- sample path
- transition matrix
- event sequences
- confidence intervals
- single server
- conditional random fields
- dynamic programming
- queueing theory
- hidden markov models