Sentence examples for high value in predicting from inspiring English sources

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The important finding of this study was that the prediction models developed using ANN analyses have high value in predicting CA dysfunction in the general population.

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The fourth characteristic that was found to have higher value in predicting risk was whether the patient was the first in the family to be diagnosed with ARVD.

In fact, in previous studies on CM-MO samples [24, 67] depression scores – measured with the updated BDI-II [68] and not with the original BDI – were not correlated with frequency of headaches and, when implemented in a predictive model together with headache frequency and pain intensity, BDI-II scores had higher value in predicting disability and quality of life scores.

The ratio of neutrophil and lymphocyte counts has even higher value in predicting bacteremia.

Moreover, the ratio of neutrophil and lymphocyte counts - referred to as the NLCR - has even higher value in predicting bacteremia.

UAI attained the highest values in predicting overall and knowledge-based outcomes.

As previously described when using a different set of European-African AIMs [46], we did not see any separation of these 2 clusters, suggesting that the within-Africa ancestry is not captured by markers which were selected for high informative value in predicting European-African ancestry.

These recurrent tumors exhibit epithelial-mesenchymal transition (EMT), which seems to be mediated by the upregulated expression of the transcriptional repressor Snail, a molecular process that seems to have a high prognostic value in predicting human breast cancer recurrence.

In conclusion, we have shown that in selected patients with ALS, both nocturnal and brief waking supine capnography can play important roles in assessing nocturnal hypoventilation and can have a higher diagnostic value in predicting good compliers to subsequent NIV treatment than conventional pulse oximetry monitoring or assessment of subjective symptoms.

FunFHMMer also shows better performance (higher Fmax value) in predicting protein functions compared with DFX which confirms that, as expected, improved functional sub-classification of CATH superfamilies also improves protein function prediction and that the purity of the FunFams can have a significant impact on their performance in functional annotation of uncharacterized sequences.

Thus, comparing Kaplan-Meier survival curves stratified by the presence of MVO on FPP and LGE sequences, they reported a strong relationship between MVO on LGE and MACEs (P < 0,001), suggesting its higher prognostic value in predicting cardiovascular events during follow-up [ 13].

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