A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine.

ABSTRACT:

Background

The large volume of medical literature makes it difficult for healthcare professionals to keep abreast of the latest studies that support Evidence-Based Medicine. Natural language processing enhances the access to relevant information, and gold standard corpora are required to improve systems. To contribute with a new dataset for this domain, we collected the Clinical Trials for Evidence-Based Medicine in Spanish (CT-EBM-SP) corpus.

Methods

We annotated 1200 texts about clinical trials with entities from the Unified Medical Language System semantic groups: anatomy (ANAT), pharmacological and chemical substances (CHEM), pathologies (DISO), and lab tests, diagnostic or therapeutic procedures (PROC). We doubly annotated 10% of the corpus and measured inter-annotator

SUBMITTER: Campillos-Llanos L 

PROVIDER: S-EPMC7898014 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature