While 80% confidence is an acceptable threshold for photos of hot dogs, chairs, animals, or other social media use cases, it wouldn't be appropriate for identifying individuals with a reasonable level of certainty.
If such issues are resolved, this method can be appropriate for identifying and possibly monitoring subjects at an increased risk of future vascular events (1, 5, 6).
These technologies are commonly used, as they are relatively inexpensive and quick, hence their appeal; however, they may not be appropriate for identifying all incoming materials, such as blends or botanicals.
The results therefore indicate that integrating measures of response capability for weight and height among adolescents in questionnaire surveys may be appropriate for identifying adolescent girls with an increased risk of reporting erroneous information on weight.
Lastly, while the current DSM-IV criteria may be appropriate for identifying typical cases of AD, in which memory is affected early, they would be less accurate for vascular dementia, dementia with Lewy bodies (DLB), or mixed dementia in which memory may be relatively spared in the earlier disease stages.
For example, an imaging method that predicts response by RECIST might be appropriate for identifying populations enriched for response in phase 2 trials but, in an adjuvant setting, it would be necessary for the imaging technique to predict survival or an appropriate surrogate such as TTP.
The results demonstrate that a text-based clustering approach is appropriate for identifying scientific and technological applications for microalgal biofuels.
The experiments on synthetic and real data sets show that the proposed methods is appropriate for identifying significant general linear biclusters.
This similarity in fertility rates, confirmed the in vitro methods used were appropriate for identifying cryosurvival and further suggested the site of sperm deposition was not crucial for the fertility of low-sperm AI-numbers for this particular sire.
Therefore, this threshold for automated vascular segmentation is appropriate for identifying the majority of arterial vessels in the fetoplacental tree.
Scores that rank risk well are appropriate for identifying those at highest risk, to whom therapy can then be targeted.
