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A comprehensive tool for creating and evaluating privacy-preserving biomedical prediction models
2020·12 Zitationen·BMC Medical Informatics and Decision MakingOpen Access
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Zitationen
5
Autoren
2020
Jahr
Abstract
With the tool presented in this article, accurate prediction models can be created that preserve the privacy of individuals represented in the training set in a variety of threat scenarios. Our implementation is available as open source software.
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Autoren
Institutionen
Themen
Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and EducationMachine Learning in Healthcare