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Payers and pharmacy benefit managers should not be permitted to arbitrarily change patients' POC meters without input from the patient and provider, and any proposed new meter should have accuracy, precision, and ease of learning at least equivalent to the previous meter.

Overall for measures of precision, the learning techniques generally perform equally, but there are trends that suggest SVM techniques are more robust to the presence of noisy methods (features) than ANN and GLM techniques when adding other features.

The precision of deep learning algorithms is becoming even greater as the digital health revolution unlocks new sources of data.

This difference stems from the fact that low STD does not necessarily mean high quality of prediction, and it merely translates into high precision of the machine learning task the lack of sensitivity to bias is the main flaw of this method, which is addressed in the newly proposed RDN method through the addition of the weighting term W i (which accounts for both).

Table 2 presents the performance (in terms of average precision) of each machine learning method and feature set using 5-fold cross-validation.

It remains unclear, however, what is required for social learning to give rise to stable traditions: what level of precision and what learning strategies are required.

What can the field of precision oncology learn from this DTC approach?

What can the field of precision oncology learn from DTC and direct-to patient (DTP) companies that have amassed a treasure trove of personal data?

Note, however, that there may not always be a quantitative relation between prior precision parameters and learning rates because this depends on the specificities of the perceptual model.

Note that this definition of specificity, accepted in bioinformatics literature, corresponds to the definition of precision in machine learning publications.

The precision of grading will be learned through the concepts of land surveying, characteristics of contours, formation of spot elevations, universal grading terminology and formulas, calculating cut and fill, drainage patterns, and accessibility.

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