FREE TEXT DE-IDENTIFICATION

A system or method generates de-identified output from a data set of patient data comprising unstructured text (100) in natural language phrases. A blacklist (105) has word items that are not allowed. The unstructured text is processed to determine a word count (110) comprising a list of low-rate wo...

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Bibliographic Details
Main Authors PLETEA, DANIEL, VAN LIESDONK, PETER PETRUS, KOSTER, ROBERT PAUL
Format Patent
LanguageEnglish
Published 30.09.2021
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HANDLING RECORD CARRIERS
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:A system or method generates de-identified output from a data set of patient data comprising unstructured text (100) in natural language phrases. A blacklist (105) has word items that are not allowed. The unstructured text is processed to determine a word count (110) comprising a list of low-rate word items that have a number of occurrences (k) in the unstructured text below a threshold (120). Subsequently, the low-rate word items and the blacklist word items are masked (130) in the unstructured text to generate the de-identified output (140).
Bibliography:Application Number: US201917260265