Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Strategies for De-identification and Anonymization of Electronic Health Record Data for Use in Multicenter Research Studies
173
Zitationen
6
Autoren
2012
Jahr
Abstract
Current de-identification strategies have their limitations, and statistical learning-based systems have distinct advantages over other approaches for the de-identification of free text. True anonymization is challenging, and further work is needed in the areas of de-identification of datasets and protection of genetic information.
Ähnliche Arbeiten
World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects
2003 · 10.822 Zit.
Estimating the mean and variance from the median, range, and the size of a sample
2005 · 9.021 Zit.
SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials
2013 · 6.986 Zit.
The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research
2020 · 5.369 Zit.
The global landscape of AI ethics guidelines
2019 · 4.700 Zit.