Sentence examples for models customized to from inspiring English sources

Exact(3)

Many companies eventually developed their own project evaluation/selection models, customized to their specific needs.

In this paper, we compared two approaches for morbidity risk discrimination of ICU patients after heart surgery: a Bayes linear classifier developed in our specialized ICU, and score models customized to our data set.

Because comparison of a locally customized model with a previously published model can be unfair, the method proposed by Higgins and colleagues for assessing morbidity risk in the ICU [ 11] was employed to design score models customized to our patient sample.

Similar(57)

Using data from a subgroup of 93 infants from a birth cohort in eastern Slovakia a region highly polluted by PCBs we fit a system type model, customized to our longitudinal measures of serum PCB concentrations in cord, 6, 16, and 45 month blood specimens.

And, as to be expected from such a limited-production run, many models were customized to the owner's wishes.

This paper presents Mercury, a tool based on the QuPreSS reference model and customized to the weather forecast domain.

The model is customized to the primarily compressive stress state of the problem at hand and is calibrated to the compressive hysteresis of the material.

The traditional object model is customized to the representation of design knowledge in two major ways: (1) Classes representing design objects are augmented with design validation information.

In a study comparing prognostic models for morbidity prediction after cardiopulmonary bypass surgery in an Italian hospital, Biagoli and coworkers [ 1] found a Bayesian linear model to have greater discriminatory power compared with simple scoring models, even when customized to a local population.

Our model can readily be customized to model any gene network in any of the commonly used cells types, offering a novel and user-friendly stochastic modeling capability to the systems biology field.

We developed a Bayes linear model to discriminate morbidity risk after coronary artery bypass grafting and compared it with three different score models: the Higgins' original scoring system, derived from the patient's status on admission to the intensive care unit (ICU), and two models designed and customized to our patient population.

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