Deidentification of free-text medical records using pre-trained bidirectional transformers

dc.contributor.author	Johnson, Alistair
dc.contributor.author	Bulgarelli, Lucas
dc.contributor.author	Pollard, Tom
dc.date.accessioned	2022-11-03T16:42:02Z
dc.date.available	2022-11-03T16:42:02Z
dc.date.issued	2020-04-02
dc.identifier.isbn	978-1-4503-7046-2
dc.identifier.uri	https://hdl.handle.net/1721.1/146118
dc.publisher	ACM\|ACM Conference on Health, Inference, and Learning	en_US
dc.relation.isversionof	https://doi.org/10.1145/3368555.3384455	en_US
dc.rights	Creative Commons Attribution NonCommercial License 4.0	en_US
dc.rights.uri	https://creativecommons.org/licenses/by-nc/4.0/	en_US
dc.source	ACM\|ACM Conference on Health, Inference, and Learning	en_US
dc.title	Deidentification of free-text medical records using pre-trained bidirectional transformers	en_US
dc.type	Article	en_US
dc.identifier.citation	Johnson, Alistair, Bulgarelli, Lucas and Pollard, Tom. 2020. "Deidentification of free-text medical records using pre-trained bidirectional transformers."
dc.contributor.department	Harvard--MIT Program in Health Sciences and Technology. Laboratory for Computational Physiology
dc.identifier.mitlicense	PUBLISHER_CC
dc.eprint.version	Final published version	en_US
dc.type.uri	http://purl.org/eprint/type/ConferencePaper	en_US
eprint.status	http://purl.org/eprint/status/NonPeerReviewed	en_US
dc.date.updated	2022-11-02T20:44:59Z
dc.language.rfc3066	en
dc.rights.holder	The author(s)
dspace.date.submission	2022-11-02T20:45:00Z
mit.license	PUBLISHER_CC
mit.metadata.status	Authority Work and Publication Information Needed	en_US