1991
DOI: 10.1057/jors.1991.77
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A Markov Chain Model for Medical Record Analysis

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Cited by 7 publications
(2 citation statements)
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“…The aim was to develop an algorithm to describe the sequence of possible events where the probability of each event depends on the state reached in the previous event. [6][7][8] The process starts at one state and moves to another state with a calculated probability, called the transition probability. The latent states were defined by the data monitoring and steering committee to be as clinically relevant as possible.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The aim was to develop an algorithm to describe the sequence of possible events where the probability of each event depends on the state reached in the previous event. [6][7][8] The process starts at one state and moves to another state with a calculated probability, called the transition probability. The latent states were defined by the data monitoring and steering committee to be as clinically relevant as possible.…”
Section: Discussionmentioning
confidence: 99%
“…A Markov chain was built to describe the evolution of the patients hospitalized for a PCBI. The aim was to develop an algorithm to describe the sequence of possible events where the probability of each event depends on the state reached in the previous event 6–8 . The process starts at one state and moves to another state with a calculated probability, called the transition probability.…”
Section: Methodsmentioning
confidence: 99%