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Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology.
2022·7 Zitationen·PubMedOpen Access
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Zitationen
14
Autoren
2022
Jahr
Abstract
The comparison outcomes suggest that the proposed vocabulary selection methods resulted in lower privacy vulnerability while maintaining the same level of clinical task performance.
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Autoren
Institutionen
- Oak Ridge National Laboratory(US)
- University of Kentucky(US)
- Louisiana State University Health Sciences Center New Orleans(US)
- Rutgers Cancer Institute of New Jersey
- Rutgers, The State University of New Jersey(US)
- Huntsman Cancer Institute(US)
- University of Utah(US)
- Fred Hutch Cancer Center(US)
- University of New Mexico(US)
- California Department of Public Health(US)
- Information Management Services(US)
Themen
Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and EducationMachine Learning in Healthcare