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DUTY is a 3-year, multicentre, diagnostic accuracy study to derive and validate a cost effective algorithm for the diagnosis of UTI in children under 5 presenting to primary care with an acute illness.
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Thus, it is important to develop accurate and cost effective algorithms for the approximate solution of large multichain queueing networks.
This dissertation focuses on the development of accurate and cost effective algorithms for the approximate solution of large multichain product form queueing networks, and in particular those that represent the models of large distributed computing systems.
In 1998 [ 4], we suggested the above combination of serological tests as a low-risk and cost-effective algorithm for diagnosing various forms of CD.
Table 4 shows that algorithm 5 is the most cost-effective algorithm (€264.02/life saved), with algorithm 4 a close second-best option (€265.98/life saved).
More information on the clinical and public health impact is needed to decide what would be the optimal cost-effective algorithm for testing.
In view of the relatively low incidence further studies are needed to try to establish a useful and cost-effective algorithm for follow-up of relatives of celiac patients.
In 1998 [ 4], we proposed a low-risk and cost-effective algorithm to diagnose various forms of gluten-sensitive enteropathy that achieved a positive predictive value (ppv) of 99%, using a combination of different antibody determinations: anti-endomysium (EMA), IgA anti-tissue transglutaminase (IgA anti-tTG), and IgA and IgG anti-native gliadin (IgA and IgG anti-ngli).
The human auditory system renders a certain amount of aliasing inaudible, which allows room for finding cost-effective algorithms.
Clinically validated, cost-effective algorithms for the use of NT-proBNP testing exist.
As such, by knowing the required SINR of a specific application, all combinations of allowable errors can be derived, and cost-effective algorithms can be easily characterized.
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