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The second one is the MapReduce programming model for intensive computation on large data sets in parallel way.
It is not necessary to adapt the western model for intensive dairy production (Holstein-soya-silage) – non-cattle dairy systems, whether intensive or not, appear to be a sustainable alternative to meet the increasing demand both in terms of quantity and quality.
Conclusion The PRE-DELIRIC model for intensive care patients consists of 10 risk factors that are readily available within 24 hours after intensive care admission and has a high predictive value.
The aim of our study was to develop and validate a delirium prediction model for intensive care patients and to determine its value compared with prediction by the attending nurses and physicians.
In a large prospective observational dataset of unselected patients undergoing CABG and/or valvular surgery, we developed and validated a clinical prediction model for intensive care unit readmission after CVICU discharge using a comprehensive set of perioperative variables that demonstrated excellent discrimination and calibration.
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Current prognostic models for intensive care unit (ICU) patients have not been specifically developed or validated in the very elderly.
We used separate models for intensive and standard glycemia with the following predictors: baseline medications, baseline A1C, on-study medication, change in A1C and time interactions at 4-month intervals modeling the change in weight, at 4-month intervals.
In this point of view paper, we argue that the monocot genus Hemerocallis (daylily) satisfies multiple criteria for selection as a 'new model organism' for intensive biological investigation.
Although several predictive models for non-intensive care patients exist, 13 14 as well as one for older medical intensive care patients, 15 no evidence based prediction model for general intensive care patients is available.
Cox regression modelled migraine occurrence whereas headache severity was modelled using a form of hierarchical linear modeling tailored for intensive within-person analyses.
Map-Reduce programming is maybe the most prominent programming model for data intensive applications.
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