Sentence examples for future classifications from inspiring English sources

When a sample of a certain size has been gathered in this way, the proportion of legitimate versus malicious nodes is estimated, and the SVM model corresponding to that estimate is used for future classifications.

The recent improvements in comprehending the underlying etiologic factors will inevitably improve future classifications and diagnostic abilities leading to more effective therapeutic options.

This study provides the most inclusive phylogeny of ariid taxa to date and a resource for future classifications and other comparative studies in the family.

This will facilitate their inclusion in future classifications based on mechanistic studies of closely related viruses that we anticipate are awaiting discovery, fostering our global understanding of viral diversity and evolution.

An argument can therefore be made for performing measures of gas transfer in routine practice for patients with COPD to provide them with the best prognostic information, and future classifications of COPD should include TLCO and not rely merely on the severity of airflow obstruction.

Such dichotomous logical relationships would underlie all future classification systems.

Knowing the range of improvement over a growing training size can support decision in future classification procedures.

Finally, we provide some recommendations for future classification of PVR and for designing comparable protocols for testing new drugs or techniques.

The soil science community is challenged to apply the accumulated knowledge on soil formation, soil differences and functions, as well as, new tools of robust data processing to evaluate current systems and define objective relationships for better future classification systems.

In the revised WHO classification, exclusively aimed at managing drug-resistant cases, medicines are again listed in hierarchical order from group A to group D. In parallel, a possible future classification is independently proposed.

The sequencing and analysis strategy we have presented might be the basis for future classification tools for colorectal cancers because it may allow a parallel detection of an increased mutation frequency in MSI tumors as well as the detection of the underlying MMR defect.