Sentence examples for identified algorithm from inspiring English sources
Figure 8(a) compares the actual experimental data with the predicted profiles generated from the identified algorithm, which shows excellent agreement.
The NSW Ministry of Health has recently evaluated a number of different algorithms for improving identification of Aboriginal people in linked health data sets and found that an 'ever identified' algorithm, as used here, increased the identification of Aboriginal people in the CCR by 49% [ 28].
We identified 16 morbidities for which the best identified algorithm was of high validity: asthma, atrial fibrillation, metastatic cancer, chronic heart failure, chronic kidney disease, chronic pain, cirrhosis, diabetes, hypertension, irritable bowel syndrome, multiple sclerosis, myocardial infarction, peripheral vascular disease, psoriasis, schizophrenia and severe constipation.
Amongst the truly novel terms, we identified algorithms, methods, brand names and gene names.
We applied identified algorithms with high or moderate validity to a population-based administrative dataset from Alberta Health (AH; the provincial health ministry) and Alberta clinical laboratories.
The overarching goal was to identify algorithms that can accurately identify the health outcomes for safety surveillance.
As with most of these interest identifying algorithms, it apparently improves the more you use it, based on what you look at, and (in the case of Twitter) who you follow.
However, it is possible, for a given problem, to identify algorithms that consistently produce better results compared with those results produced by other algorithms.
After 13 proteins were selected as candidate biomarkers, multivariate classification analyses were used to identify algorithms for diagnostic biomarker combinations.
The second aim was to identify algorithms with high specificity in order to provide proxies for clinical diagnoses.
There is an imminent need to improve microbiological diagnostic facilities and to identify algorithms that can identify children at risk of bloodstream infections in Africa.
