Ontology highlight
ABSTRACT:
SUBMITTER: Lane K
PROVIDER: S-EPMC2688105 | biostudies-literature | 2009
REPOSITORIES: biostudies-literature
Critical care (London, England) 20090123 1
What will be the role of the intensivist when computer-assisted decision support reaches maturity? Celi's group reports that Bayesian theory can predict a patient's fluid requirement on day 2 in 78% of cases, based on data collected on day 1 and the known associations between those data, based on observations in previous patients in their unit. There are both advantages and limitations to the Bayesian approach, and this test study identifies areas for improvement in future models. Although such ...[more]