Sentence examples for based algorithms to identify from inspiring English sources

Finally, we assessed the enrichment of protein on AuNP surface and used graph-theory based algorithms to identify cancer-specific hub nodes in the biological networks.

In order to determine the presence/absence of a gene, we developed a threshold based algorithm to identify absent genes for each test strain based on the probe hybridization calls.

In this paper, we have proposed an improved logistic regression based algorithm to identify disease genes by using either a single network or multiple networks.

The identification of pneumonia and influenza cases involved two steps: 1) identifying CUIs relating to pneumonia and influenza and 2) use of the CUIs to create a rules based algorithm to identify cases.

Since our focus is on solving degenerate and long motifs, we adopt the enumerative approach that is guaranteed to find the optimal motif by applying a novel rule-based algorithm to identify all optimal motif candidates without the expense of exploring the entire 4l space exhaustively.

This is consistent with previous studies that used claims-based algorithms to identify gout patients and flares, which found that only 2 3% of patients with gout had 3 or more flares over a 1-year period.

In the Puget Sound, USA, we used LandTrendr Landsat time-series-based algorithms to identify abrupt disturbances, and then applied spatial rules to aggregate these to patches.

By considering the 3D point cloud data as an undirected, weighted, labeled graph, we leverage powerful graph-based algorithms to identify the local topology of precipitates without the necessity of any heuristics.

We also describe claims-based algorithms to identify uncontrolled LDL cholesterol according to ATP III guidelines among statin users at high risk for CHD events.

The purpose of this study was to develop and evaluate the accuracy of model-based algorithms to identify screening colonoscopies in health administrative databases.

23 Several recent studies illustrate the use of EHR-based algorithms to identify patient charts with a higher probability of a diagnostic error.