Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes

Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes

Abstract There is a great and growing need to ascertain what exactly is the state of a patient, in terms of disease progression, actual care practices, pathology, adverse events, and much more, beyond the paucity of data available in structured medical record data. Ascertaining these harder-to-reach...

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Bibliographic Details
Main Authors:	Beau Norgeot, Kathleen Muenzen, Thomas A. Peterson, Xuancheng Fan, Benjamin S. Glicksberg, Gundolf Schenk, Eugenia Rutenberg, Boris Oskotsky, Marina Sirota, Jinoos Yazdany, Gabriela Schmajuk, Dana Ludwig, Theodore Goldstein, Atul J. Butte
Format:	Article
Language:	English
Published:	Nature Portfolio 2020-04-01
Series:	npj Digital Medicine
Online Access:	https://doi.org/10.1038/s41746-020-0258-y

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