# Biomedical term normalization of EHRs with UMLS

arXiv: https://arxiv.org/abs/1802.02870 · HTML: https://mlsanity.com/paper/1802.02870/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Feb 2018.

## Built on by (most cited first, 1 of 1)

- [Impact of translation on biomedical information extraction from real-life clinical notes](https://mlsanity.com/paper/2306.02042/) (2023)

## Abstract (arXiv)

This paper presents a novel prototype for biomedical term normalization of electronic health record excerpts with the Unified Medical Language System (UMLS) Metathesaurus. Despite being multilingual and cross-lingual by design, we first focus on processing clinical text in Spanish because there is no existing tool for this language and for this specific purpose. The tool is based on Apache Lucene to index the Metathesaurus and generate mapping candidates from input text. It uses the IXA pipeline for basic language processing and resolves ambiguities with the UKB toolkit. It has been evaluated by measuring its agreement with MetaMap in two English-Spanish parallel corpora. In addition, we present a web-based interface for the tool.