Sentence examples for based measures to identify from inspiring English sources
A study using only diagnoses based measures to identify congestive heart failure, hypertension, or depression will underestimate these diagnoses, while a study using only RxRisk-V will underestimate renal disease/failure, dementia, and alcohol abuse.
In order to bring some light to these questions, we perform an in-depth analysis of existing ontology-based measures to identify the core elements of semantic similarity assessment.
We find strengths and weaknesses of using self-reports and claims-based measures to identify the diabetic population.
Thus, in addition to using questionnaire-based measures to identify barriers and facilitators, it may be necessary to further clarify the relationships between each of the determinant areas through, for example, focus group discussions.
For example, the GSEA method was evaluated both using statistical measures and experimentally verified data that has been extensively studied [ 23, 25], and the use of semantic similarity measures to identify interacting proteins based on GO is rigorously evaluated and compared using ROC and correlation coefficient analysis [ 103].
Based on these principles, we looked at different statistical measures to identify the method best suited for our dataset with respect to variance.
Based on this study, lower and upper alpha activities appear to be valid measures to identify interfaces that are best matched to computer tasks.
For example, pharmacy based measures may provide more detailed information on active chronic conditions for which patients are actually receiving care and not only serious conditions that diagnostic based measures may identify.
We propose a new method, based on an empirical Girsanov's change of measure, to identify the risk-neutral density from the observed unadjusted index returns.
Included studies used an explicit biological definition of frailty based on Fried et al's criteria and a screening measure to identify depressive symptomatology.
What should be measured to identify quality in ECEC settings?
