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Pseudonymization is a data management and de-identification procedure by which personally identifiable information fields within a data record are replaced by one or more artificial identifiers, or pseudonyms. [1]
Personal data, also known as personal information or personally identifiable information (PII), [1] [2] [3] is any information related to an identifiable person. The abbreviation PII is widely used in the United States , but the phrase it abbreviates has four common variants based on personal or personally , and identifiable or identifying .
GDPR Recital (26) establishes a very high bar for what constitutes anonymous data, thereby exempting the data from the requirements of the GDPR, namely “…information which does not relate to an identified or identifiable natural person or to personal data rendered anonymous in such a manner that the data subject is not or no longer ...
Personal Identifiers (PID) are a subset of personally identifiable information (PII) data elements, which identify an individual and can permit another person to "assume" that individual's identity without their knowledge or consent. [1] PIIs include direct identifiers (name, social security number) and indirect identifiers (race, ethnicity ...
For Text de-identification is using rule based and NLP (Natural language processing) approaches. Pdf de-identification is based on text de-identification, also required in most cases OCR and specific techniques for hide PHI in PDF. [17] DICOM de-identification required to clean metadata, pixel data, encapsulated documents.
The Guatemalan constitution requires personal identification via documentation, person rooting or the government. If the person cannot be identified, they may be sent to a judge until identification is provided. [37] Guinea: Carte nationale d'identité (National identity card) Compulsory with a price of 100.000/150.000 CFA. Guinea-Bissau
Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
A person may also choose to craft a fake identity, whether entirely fictional, already in existence, borrowed, or stolen. Because of many emotional and psychological dynamics, people can be reluctant to interact online. By evoking a mask of identity, a person can create a safety net.