Sentence examples for a novel data source from inspiring English sources

Exact(9)

Background: Internet search patterns have emerged as a novel data source for monitoring infectious disease trends.

Martinez's findings are derived from a novel data source: satellite imagery that tracks changes in the level of nighttime lighting within and between countries over time.

This paper uses a novel data source, namely German employee inventors' compensation records compiled in compliance with the German Employee Invention Act of 1957 to estimate the returns to patented inventions.

To identify attributes of zoological institutions and surveillance system factors that were associated with participation in the West Nile Virus Surveillance System for Zoological Institutions in the USA, and to assess the potential effectiveness of zoos as a novel data source for surveillance of emerging infectious zoonoses.

Jonathan Parker, an economist at the Massachusetts Institute of Technology in Cambridge, is impressed by the researchers' innovative use of a novel data source.

Internet search patterns have emerged as a novel data source for monitoring infectious disease trends.

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Similar(51)

Here we develop a new method for multiple data fusion and incorporate novel data sources into TF target gene prediction.

Another attractive digital option is the fusion of traditional sources (surveillance databases, sentinel networks, questionnaires, food tracing) with novel data sources and forms of communication, e.g., by supplementing a general practioners sentinel surveillance system with a web-based syndromic monitoring system (Bayer et al. 2014).

In recent years, online social media services have emerged as novel data sources where short messages are publicly shared, allowing for a detailed picture of the flow of information from person to person in large-scale networks.

Furthermore, we empirically test the proposed framework using novel data sources and tools.

In ongoing work, he and his colleagues are exploring the ability of novel data sources, such as retail purchasing information and electronic health record data, to improve the ability to predict future non-adherence.

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