Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*
242
Zitationen
15
Autoren
2021
Jahr
Abstract
Technical, legal, ethical, and privacy challenges related to responsible data sharing can be addressed using a multidisciplinary approach. A risk-based deidentification strategy, that complies with both U.S. and European privacy regulations, should be the preferred approach to releasing ICU patient data. This supports the shared Society of Critical Care Medicine and European Society of Intensive Care Medicine vision to improve critical care outcomes through scientific inquiry of vast and combined ICU datasets.
Ähnliche Arbeiten
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
2002 · 8.389 Zit.
Calibrating Noise to Sensitivity in Private Data Analysis
2006 · 6.864 Zit.
Communication-Efficient Learning of Deep Networks from Decentralized\n Data
2016 · 5.590 Zit.
Deep Learning with Differential Privacy
2016 · 5.571 Zit.
Large-Scale Machine Learning with Stochastic Gradient Descent
2010 · 5.558 Zit.
Autoren
Institutionen
- Erasmus University Rotterdam(NL)
- Erasmus MC(NL)
- University of Pennsylvania(US)
- Durham VA Medical Center(US)
- Utrecht University(NL)
- University Medical Center Utrecht(NL)
- University of Wisconsin–Madison(US)
- University of Pittsburgh(US)
- The Alan Turing Institute(GB)
- University of Cambridge(GB)
- European Society of Intensive Care Medicine(BE)