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Computer says 2.5 litres – how best to incorporate intelligent software into clinical decision making in the intensive care unit?
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, b...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688105/ https://www.ncbi.nlm.nih.gov/pubmed/19232073 http://dx.doi.org/10.1186/cc7156 |