C-C4-02: Using a Natural Language Processor to Remove All Elements of Personal Health Information (PHI) to Deidentify Clinical Annotations for the Specimen Retrieval System (SRS)

PHI in HMORN medical records must be systematically removed prior to use and sharing data with co-investigators at other institutions. The problem is particularly acute when one needs to link clinical and follow-up data with pathologic specimens from cancer patients in studies of prognostic and pred...

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Detalhes bibliográficos
Main Authors: Glass, Andrew, Taube, Sheila, McMurry, Andrew, Eddy, Chris, La Chance, Pierre-Andre, McShane, Lisa, Polley, Mei-Yin, Kohane, Isaac
Formato: Artigo
Idioma:Inglês
Publicado em: Marshfield Clinic 2011
Assuntos:
SELECTED ABSTRACTS - HMORN 2011: Health Informatics
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3251362/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3121/cmr.2011.1020.c-c4-02
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