Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

Objective The goal of this study is to investigate entity recognition within Electronic Health
Records (EHRs) focusing on Spanish and Swedish. Of particular importance is a robust …

For the healthcare sector, it is critical to exploit the vast amount of textual health-related
information. Nevertheless, healthcare providers have difficulties to benefit from such quantity …

Radiology reports express the results of a radiology study and contain information about
anatomical entities, findings, measures and impressions of the medical doctor. The use of …

We report an on-going analysis of negation in a collection of Spanish emergency admission
notes. The corpus gathers 354,677 de-anonymized records (71,297,457 tokens). We …

This work focuses on biomedical text mining. The core of this work is to make a step ahead
in the negation detection of biomedical entities on Electronic Health Records (EHRs), where …

Background Knowledge representation frameworks are essential to the understanding of
complex biomedical processes, and to the analysis of biomedical texts that describe them …

Abstract Electronic Health Records (EHRs) are now being massively used in hospitals what
has motivated current developments of new methods to process clinical narratives …

This paper presents a new annotated corpus of 513 anonymized radiology reports written in
Spanish. Reports were manually annotated with entities, negation and uncertainty terms and …

O Catálogo Português de Alergias e outras Reações Adversas (CPARA) utiliza a
terminologia clínica SNOMED CT (Systematized Nomenclature of Medicine-Clinical Terms) …