SoftwareApplication
identifier: 10.5281/zenodo.16027340
name: ADHTEB
description: ADHTEB (Alzheimer’s Disease Harmonization Text Embedding Benchmark) is a Python package designed to evaluate the performance of text-embedding models in harmonizing variable descriptions from diverse cohorts in the context of Alzheimer’s disease.
description: https://raw.githubusercontent.com/SCAI-BIO/ADHTEB/refs/heads/main/README.md
code repository: https://github.com/SCAI-BIO/ADHTEB
author: https://orcid.org/0000-0002-2823-0102
author: https://orcid.org/0000-0002-7773-7786
author: https://orcid.org/0000-0002-5328-1243
author: https://orcid.org/0000-0002-2977-7695
keywords: large language models
keywords: benchmark
keywords: text embeddings
keywords: alzheimers disease
programming language: Python
license:
  creative work: creativeWork
    name: Apache-2.0
reference publication: j.tjpad.2025.100420

https://orcid.org/0000-0002-2823-0102
type: Person
given name: Tim
family name: Adams
name: Tim Adams
affiliation: Organization
  name: Fraunhofer Institute for Algorithms and Scientific Computing

https://orcid.org/0000-0002-7773-7786
type: Person
given name: Yasamin
family name: Salimi
name: Yasamin Salimi
affiliation: Organization
  name: Fraunhofer Institute for Algorithms and Scientific Computing

https://orcid.org/0000-0002-5328-1243
type: Person
given name: Holger
family name: Fröhlich
name: Holger Fröhlich
role name: Advisor
affiliation: Organization
  name: Fraunhofer SCAI

https://orcid.org/0000-0002-2977-7695
type: Person
given name: Mehmet Can
family name: Ay
name: Mehmet Can Ay
affiliation: Organization
  name: Fraunhofer Institute for Algorithms and Scientific Computing

j.tjpad.2025.100420
type: ScholarlyArticle
name: A benchmark of text embedding models for semantic harmonization of Alzheimer's disease cohorts
pagination: 100420
url: https://doi.org/10.1016%2Fj.tjpad.2025.100420