Creating synthetic data for the presentation of a post-COVID algorithm

Introduction: Developing and testing new diagnostic algorithms to improve public health often depends on restricted access to medical data, such as electronic health records (EHR). The sensitive nature of patient data calls for consent, privacy, and confidentiality issues. Synthetic data could bypass [for full text, please go to the a.m. URL]

Institutions

Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-11-03
DOI
https://doi.org/10.3205/25gmds091
Primary Topic
COVID-19 Digital Contact Tracing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Creating synthetic data for the presentation of a post-COVID algorithm

German Medical Science (German Research Foundation)
COVID-19 Digital Contact Tracing
article

Creating synthetic data for the presentation of a post-COVID algorithm

article en

Abstract

Introduction: Developing and testing new diagnostic algorithms to improve public health often depends on restricted access to medical data, such as electronic health records (EHR). The sensitive nature of patient data calls for consent, privacy, and confidentiality issues. Synthetic data could bypass [for full text, please go to the a.m. URL]

German Medical Science (German Research Foundation)
Medizinische Hochschule Hannover (DE), Universitätsmedizin Göttingen (DE), University of Göttingen (DE)
Openalex Percentile: Top 32%
COVID-19 Digital Contact Tracing
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Creating synthetic data for the presentation of a post-COVID algorithm · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS