SYSTEMS AND METHODS FOR COMPUTING WITH PRIVATE HEALTHCARE DATA

Techniques are provided for computing with private healthcare data. The techniques include a de-identification method including receiving a text sequence; providing the text sequence to a plurality of entity tagging models, each of the plurality of entity tagging models being trained to tag one or m...

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Hauptverfasser: ARAVAMUDAN, Murali, ARDHANARI, Sankar, MURUGADOSS, Karthik, RAJASEKHARAN, Ajit
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:Techniques are provided for computing with private healthcare data. The techniques include a de-identification method including receiving a text sequence; providing the text sequence to a plurality of entity tagging models, each of the plurality of entity tagging models being trained to tag one or more portions of the text sequence having a corresponding entity type; tagging one or more entities in the text sequence using the plurality of entity tagging models; and obfuscating each entity among the one or more tagged entities by replacing the entity with a surrogate, the surrogate being selected based on one or more attributes of the entity and maintaining characteristics similar to the entity being replaced.