Author

Donghee Choi

Imperial College LondonORCID 0000-0002-8857-9680Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Antoine D. LainiD· 2 shared Joram Matthias PosmaiD· 2 shared Marek ReiiD· 2 shared Thomas RowlandsiD· 2 shared Tim BeckiD· 2 shared Yajie GuiD· 2 shared A M Saif Mahmud· 1 shared Adrian D Alessandro· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Antoine D. LainORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJun 23, 2026

Relation Extraction for Diet, Non-Communicable Disease and Biomarker Associations (RECoDe): A CoDiet study

Donghee Choi, Yajie Gu, Kai Qi Zong…·Joram Matthias Posma

The paper introduces RECoDe, a relation extraction dataset for diet, disease, and biomarker associations, and benchmarks NLP models on it, achieving high classification performance.

DOI 10.1093/bioinformatics/btag439

humanmachine learning (classical)

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BioinformaticsbioRxivPreprintSep 4, 2025

Biomedical text corpora for multi-entity recognition in diet-related metabolic syndrome research

Antoine D. Lain, Stephanie Go, A M Saif Mahmud…·Joram Matthias Posma

The paper introduces five biomedical corpora for multi-entity recognition in metabolic syndrome research, including human-annotated and machine-annotated datasets with diverse entity categories.

2 citations

statistical modelbenchmarking

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