Representativeness of a German AI-enabled data network for secondary epidemiological analysis based on electronic health records.

Eichhorn S, Mitze FN, Wagner F, Seuthe IMC, Brinks R, Zimmermann A, Dastur M, Ladenbauer J, Park JJ

Open source

DOI
10.1371/journal.pone.0339647
Published
2026
Container
PloS one
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0339647,
  title = {Representativeness of a German AI-enabled data network for secondary epidemiological analysis based on electronic health records.},
  author = {Eichhorn S and Mitze FN and Wagner F and Seuthe IMC and Brinks R and Zimmermann A and Dastur M and Ladenbauer J and Park JJ},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0339647},
  url = {https://doi.org/10.1371/journal.pone.0339647}
}

RIS

TY  - JOUR
TI  - Representativeness of a German AI-enabled data network for secondary epidemiological analysis based on electronic health records.
AU  - Eichhorn S
AU  - Mitze FN
AU  - Wagner F
AU  - Seuthe IMC
AU  - Brinks R
AU  - Zimmermann A
AU  - Dastur M
AU  - Ladenbauer J
AU  - Park JJ
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0339647
UR  - https://doi.org/10.1371/journal.pone.0339647
ER  - 

APA

S, E., FN, M., F, W., IMC, S., R, B., A, Z., M, D., J, L., & JJ, P. (2026). Representativeness of a German AI-enabled data network for secondary epidemiological analysis based on electronic health records.. PloS one. https://doi.org/10.1371/journal.pone.0339647

Source records