1991
DOI: 10.1038/sj/jors/0420502
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A Markov Chain Model for Medical Record Analysis

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Cited by 2 publications
(3 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%
“…Liu et al [6] used a Markov model to discuss the status of patients' visiting hospitals; Smith and Lawrence [7] adopted a Markov model to study maturing loans; Smith et al [8] applied a Markov model to forecast the risk management ability of ® nancial organizations; Liu and Wang [9] pointed out that a Markov model can provide a reliable system for improving information. The hierarchical transfer of ocean deck o cers in Taiwan is a transfer procedure from one hierarchical level to another, and this transfer has a transition probability.…”
Section: Literature Reviewmentioning
confidence: 99%