Sentence examples for a anonymized from inspiring English sources

The phrase "a anonymized" is not correct in written English.
It should be "an anonymized" because "an" is used before vowel sounds.
Example: "The study included an anonymized dataset to protect participants' privacy."
Alternatives: "a de-identified" or "an obscured".

Exact(1)

An IRB exemption for the use of the tissue samples was granted by the Huntsville Hospital Institutional Review Committee as all patient data were a) anonymized, b) consent was unnecessary, and c) only excess tissue was used.

Similar(59)

Distribution of cross-gender popularity differences produced by a randomization process for (a) an anonymized university campus and (b) the art museum Fundação Ibirapuera in São Paulo city.

The leftovers of every brain banked are placed in formalin in a separate, dedicated container for each half, which carries a color-coded label with an anonymized identifier.

Depending on the degree of supplemental information, there is a good chance that at least a few individuals can be identified from an anonymized data set.

Therefore, our use of an anonymized online survey may have allowed a more honest response to this question leading to a seemingly high response confirming that patients reduced their pain medication.

Each location point includes an anonymized ID, coordinates (longitude and latitude) and a timestamp.

We plan to install an anonymized replica of the Biobank database on a DIBRIS server, for data sharing and integration with other European biobanks in the framework of the European Network for Children's Cancer Research (ENCCA) project.

As a case study we explored the Netflix prize, which published an anonymized dataset with real-world information about user behavior which was later deanonymized through correlation attacks involving public databases.

Each location search datum (i.e., map query) includes an anonymized ID, query keywords, the returned Point of Interest (POI) ID, and a timestamp.

We define the distinguishability-based attack by which the adversary can identify outliers and reveal their private information from an anonymized dataset.

We studied an anonymized Call Detail Records (CDR) dataset from Telefónica Chile.

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