DNorm
paper - A method for disease normalization, i.e., linking mentions of disease names and acronyms to unique concept identifiers. Downloadable version includes the NCBI Disease Corpus and BC5CDR (see Annotated Text Data below).
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- 2026-10-10
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NCBI Disease Corpus ncbi.nlm.nih.gov
paper - A corpus of 793 biomedical abstracts annotated with names of diseases and related concepts from MeSH and OMIM.
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RxNorm nlm.nih.gov
paper - Normalized names for clinical drugs and drug packs, with combined ingredients, strengths, and form, and assigned types from the Semantic Network (see below). Released monthly.
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Demner-Fushman group at NLM lhncbc.nlm.nih.gov
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DISEASES diseases.jensenlab.org
Gene–disease association database integrating evidence from text mining, curated databases, and experimental data.
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TaggerOne ncbi.nlm.nih.gov
paper - Performs concept normalization (see also DNorm above). Can be trained for specific concept types and can perform NER independent of other normalization functions.
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BioRED ftp.ncbi.nlm.nih.gov
paper - a set of >6.5K biomedical relation annotations, plus labels for novel findings.
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