Health AI Central
Share:
Peer-Reviewed Publication
Proc Conf Empir Methods Nat Lang Process2023;202314462-14478.December 1, 2023Journal Article

A Comprehensive Evaluation of Biomedical Entity Linking Models.

David Kartchner1,2, Jennifer Deng2, Shubham Lohiya2, Tejasri Kopparthi2, Prasanth Bathala2, Daniel Domingo-Fernández1, Cassie S Mitchell2
1Enveda Biosciences.
2Georgia Institute of Technology.
PubMed PMC DOI PDF

Abstract

Biomedical entity linking (BioEL) is the process of connecting entities referenced in documents to entries in biomedical databases such as the Unified Medical Language System (UMLS) or Medical Subject Headings (MeSH). The study objective was to comprehensively evaluate nine recent state-of-the-art biomedical entity linking models under a unified framework. We compare these models along axes of (1)…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.