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These results indicate that the combination of low-cost UAV and a digital camera may be used as a viable alternative for the collection of data with the goal to document surface structures and to form 3D models formed from this data.
The secondary models formed from blocks of influential plaque, diet and saliva biomarkers predicted baseline caries in the order of plaque bacteria > diet > saliva (Table 1).
We then investigated secondary models formed from all influential biological (n = 18) or previous caries (n = 17) multimarkers alone or combined for ability to predict 2-year caries increment (Table 1, Fig. 2B).
A model selection was performed by enumerating all possible models formed from the ten candidate predictors, and the model with the lowest value of Bayesian Information Criteria (BIC) was chosen.
We next compared secondary models formed from all influential biomarkers (n = 18 multimarkers), a five biomarker panel and a single lactobacilli marker, for ability to predict baseline caries (Table 1, Fig. 2A).
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The mesh model formed from nude and clothed body was aligned, superimposed and sectioned using Rapidform software.
An ANN is a biologically inspired computational model formed from hundreds of single units (artificial neurons) connected with coefficients (weights) that constitute the neural structure.
Perplexity is a monotonic function of the empirical conditional information H(C| M), and it can also be interpreted in terms of the average per-sample likelihood of a simple probability model formed from the table.
To evaluate this possibility, we compared the performance of our 13-varible model to models formed by choosing variables randomly from the 377 variables evaluated on the cohort we studied (Additional File 5).
The predictiveness curve described earlier is an integrated plot of predicted risks from logistic regression models formed by the percentiles of risk in the population (24).
These models are formed from reconstructed networks based on biochemical, genetic and genomic data, and thus have been able to compute a variety of phenotypic functions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com