Sentence examples for index decision from inspiring English sources

With regard to our IPDAS "qualifying" criteria (Table  2), all 20 DAs (100 %) explicitly stated the index decision and 17 (85 %) described the health condition or problem for which the index decision was required.

Sixteen (80%%) described the options available for the index decision, among which eight (40%%) described both the positive and the negative features of each option (to do or not to do the test).

This involved folding (rolling) back the tree starting with the outcomes and working through the tree in a backwards fashion, that is from right to left, until arriving at the index decision.

Briefly, using parameters such as the length of the strand, its mean hydrophobicity and periodicity of G1 and G2 residues, combined with topohydrophobic index, decision trees lead to an accuracy of 80% for the prediction of edge/central positions within β-sheets (Supplementary data 1).

In this approach, the stock indices decision model is designed to reflect fluctuations in the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) series, which is selected as an optimal input variable in support vector regression load forecasting model at an appropriate timing.

Because our LFP decomposition indexes decision dynamics locally, we hypothesised that the internal dynamics of ACC and OFC might preferentially influence activity in DLPFC on different trial types.

Next, by simultaneously indexing decision formation across multiple PFC subregions, we show that functional interactions can be reshaped in a task-dependent manner.

Performance on the first block of 20 choices was not correlated with performance on subsequent blocks, supporting the interpretation that early performance on the IGT indexes decision-making under ambiguity, while performance on blocks 2 5 indexes decision-making under risk.

Through a set of clever analyses, the authors draw their main conclusion that a trial-by-trial index of decision dynamics, derived from the PCA analysis of LFP data, was largely correlated with the chosen value.

The relationship between the values of the thresholds and the risk attitude index of decision maker presented in the ranking function is analyzed.

This index allows decision makers and non-specialized professionals with some level of understanding of coastal dynamics to decide whether coastal dunes (foredunes) require and can be restored.