Work

Improving the detection of privacy risk in synthetic EHRs

Year: 2025

Type: conference-paper

Abstract: Introduction: Nowadays, hospitals commonly store electronic health records (EHRs) but, due to privacy protection laws, this data can only be distributed under severe constraints. Recent research aims to solve this problem by fitting a generative model to a cohort in a secure environment and creating [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds135

Authors: Gerloff, Xenia F., Größler, Michael, Riemann, Layla Tabea

Institution: University Medical Center Hamburg-Eppendorf

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103883647

FWCI:

Cites:

Cited by:

Related to: