Critical Care - Volume 13, issue 1

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Electronic ISSN
1466-609X
Print ISSN
1364-8535

Abstract

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

Journal: Critical Care, vol. 13, no. 1, 2009

Abstract

When a passenger becomes sick while flying on board a commercial airline flight, the cabin crew commonly solicit the assistance of a volunteer physician. Although in-flight medical emergencies take place every day, little is known about the epidemiology of these events. A new study by Sand and co

Journal: Critical Care, vol. 13, no. 1, 2009