ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation

Authors

Aidong Zhang (ORCID: https://orcid.org/0000-0001-9723-3246)
Kishlay Jha (ORCID: https://orcid.org/0000-0003-0826-445X)
Nathan C. Sheffield (ORCID: https://orcid.org/0000-0001-5643-4068)
Alireza Jafari (ORCID: https://orcid.org/0000-0002-9079-1971)
Sikun Guo (ORCID: https://orcid.org/0000-0002-4764-3359)
S. Srinivasan (ORCID: https://orcid.org/0009-0006-9759-9145)
Amir Hassan Shariatmadari (ORCID: https://orcid.org/0009-0002-6590-3748)

Institutions

University of Iowa (US)
University of Virginia (US)

Publication Details

Journal: Bioinformatics
Published: 2025-10-28
DOI: https://doi.org/10.1093/bioinformatics/btaf563
Primary Topic: Biomedical Text Mining and Ontologies
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Science Foundation
National Institutes of Health

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article

ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation

Aidong Zhang, Kishlay Jha, Nathan C. Sheffield, Alireza Jafari et al.

Oct 28, 2025

Bioinformatics

Biomedical Text Mining and Ontologies

article

ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation

Aidong Zhang, Kishlay Jha, Nathan C. Sheffield, Alireza Jafari, Sikun Guo, S. Srinivasan, Amir Hassan Shariatmadari

October 28, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(11)

University of Iowa (US), University of Virginia (US)

National Science Foundation, National Institutes of Health

Openalex Percentile: Top 72%

Biomedical Text Mining and Ontologies

DOI Open Access PDF OpenAlex

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