An ontology-based tool to visually compare LOINC subsets

Original language	English
Journal	GMS Medizinische Informatik, Biometrie und Epidemiologie
ISSN	1860-8779
DOIs	https://doi.org/10.3205/20gmds195
Publication status	Published - 2021

Research Areas and Centers

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{62f98e5a03a64e56a6073b3a4c6aa265,

title = "An ontology-based tool to visually compare LOINC subsets",

author = "Drenkhahn, \{Cora M.\} and Hannes Ulrich and Josef Ingenerf",

year = "2021",

doi = "10.3205/20gmds195",

language = "English",

journal = "GMS Medizinische Informatik, Biometrie und Epidemiologie",

issn = "1860-8779",

publisher = "Deutsche Gesellschaft fur Medizinische Informatik, Biometrie und Epidemiologie e.V.",

}

TY - JOUR

T1 - An ontology-based tool to visually compare LOINC subsets

AU - Drenkhahn, Cora M.

AU - Ulrich, Hannes

AU - Ingenerf, Josef

PY - 2021

Y1 - 2021

U2 - 10.3205/20gmds195

DO - 10.3205/20gmds195

M3 - Journal articles

SN - 1860-8779

JO - GMS Medizinische Informatik, Biometrie und Epidemiologie

JF - GMS Medizinische Informatik, Biometrie und Epidemiologie

ER -