Sentence examples for to adequately predict from inspiring English sources

When applying previously specified risk prediction models to our population, both models were able to adequately predict outcomes among smokers, however, both models had substantially less predictive ability among never smokers.

A result is that gay donor dads must not only trust that their co-parents will abide by whatever agreements they have designed but also hope that as dads they have managed to adequately predict their own reaction to being a parent.

It is important to have an empirical strategy to adequately predict the target variable.

The method uses optimization and human performance measures to adequately predict natural motions.

The ability of both models to adequately predict investigated experimental results is discussed.

In vivo animal models are costly, time-consuming, and often fail to adequately predict human response to treatment.

The goal of the present study is to assess whether commercial Computational Fluid Dynamics (CFD) software can be used to (1) adequately predict the rate of mass and heat transfer from the catalyst particles to the fluid in a CSP and (2) develop simple engineering correlations for this type of packing.

(e) The identification of a limited set of descriptors from the available list is many times necessary to avoid over-fitting, allow the desired physicochemical property to be adequately predicted by the constructed model and to have a better understanding of the models and the factors involved.

Specifically, the range of cardiac index (low, normal or high) has been shown to be adequately predicted by the physical examination in only 44 to 51% of ICU patients who were evaluated using right heart catheterization [ 1- 3].

The difference in muscular mass between men and women was found to be adequately predicted by the CG but overestimated by MDRD according to a study by Cirillo et al. 21 In the same study, the authors hypothesise that the strong influence on renal function using the CG formula could partly be due to an overestimation of the association of ageing with decline of muscular mass.

In addition, a stepwise logistic regression model revealed that NT-proBNP (OR = 1.01 per 100 ng/L, 95% CI 1.002 to 1.02), ECG modifications (OR = 11.03, 95% CI 5.19 to 23.41), and OSF score (OR = 1.63 per point, 95% CI 1.17 to 2.41) adequately predicted cardiac dysfunction.