Sentence examples for data to generate and from inspiring English sources

Watson excels in situations where you need to bridge between massive amounts of dynamic and complex text information (such as the constantly changing body of medical literature) and another mass of dynamic and complex text information (such as patient records or genomic data), to generate and evaluate hypotheses.

Such a network can be utilised as an automated tool for real-time use in the volcano observatory, using streams of monitoring data to generate and continuously update probabilistic hazard forecasts.

Requisite components of this infrastructure include the standardized representation of genomic and non-genomic patient data across health information systems; centrally managed repositories of computer-processable medical knowledge; and standardized approaches for applying these knowledge resources against patient data to generate and deliver patient-specific care recommendations.

We use a combination of spatial, environmental, and survey data to generate and test the hypothesis that relationships between air pollution and determinants of health, access and utilization of general practitioners (GP) do exist in Sarnia, Ontario.

Although this would dramatically reduce the amount of data to generate and analyse, with the realization that non-protein-coding sequences also play such a key role in the function of the CNS (121, 122), a genome-wide database of mutants would maximize the potential of the ENU mutagenesis resource that numbers over 50 000 individually archived lines.

This phase included comparison and cross-checking of all data to generate cohesive and consistent case descriptions and to identify unusual or exceptional experiences.

"Kenyan researchers have formed a team to spearhead establishment of open data to generate information and services for smallholder farmers in agriculture and nutrition.

Verizon can use all the data to generate business and marketing reports of anonymized data for itself as well as other companies.

Working in small groups of 3 4 (mixed-achievement in school mathematics), the students drew on the given data to generate, refine, and document their models.

Third, we used the data to generate new ideas and strategies and implemented them quickly.

Descriptive analyses were performed on both the grants and publication data to generate frequencies, percentages and means.