The phrase "automated extraction of data" is correct and usable in written English.
It can be used in contexts related to data processing, analysis, or technology where data is retrieved automatically without manual intervention.
Example: "The software utilizes automated extraction of data to streamline the reporting process and improve efficiency."
Alternatives: "automated data retrieval" or "automated data collection".
Automated extraction of related data from primary databases can minimize the manual entry of data and mismatches between existing entries addition to entries, provide automated error detection to be manually addressed.
The patients' charts were accessed using a report writing tool that allowed automated extraction of study data from the clinical database.
Some higher-level data types, such as functional annotations, are often found in tables, figures, legends, or supplementary materials of primary scientific articles, making automated extraction of this information highly complex or practically impossible [ 7].
Automated extraction of demographic or megademographic data from remotely sensed images represents an important first step toward scaling population analysis to the landscape and regional levels.
To deal effectively with these problems, this paper presents a framework based on three design principles (transferability, modularity, and scalability), along with the geographic information system (GIS -based episode reconstruction toolkit (GIS -basedd on this framepisodeforeconstructiontoolkitn of activity episodes from GERTdata.
Therefore, these software systems might be impractical tools for fully automated extraction of chemical structure information.
However, at present there is still a wide gap between relatively low coverage-high quality manually-curated data sources and high coverage data sources that use text mining and automated extraction of chemical structures.
Automated extraction of pure components from co-eluting components in GC-MS data is a challenging problem.
At present there is still a wide gap between relatively low coverage-high quality manually-curated data sources (e.g. BindingDB [8], DrugBank [9]) and high coverage data sources that use text mining and automated extraction of chemical structures.
Automated extraction of DNA from a variety of clinical samples (blood, expectorations, urine, etc).
