Cancer still represents one of the leading causes of death worldwide, resulting in a
considerable healthcare impact. Recent research efforts from the clinical and molecular …

There is an increasing interest in exploiting the content of electronic health records by
means of natural language processing and text-mining technologies, as they can result in …

Clinical coding requires the analysis and transformation of medical narratives into a
structured or coded format using internationally recognized classification systems like ICD …

There is a pressing need for advanced semantic annotation technologies of medical content,
in particular medical publications, clinical trials and clinical records. Search engines and …

Here we describe a new clinical corpus rich in nested entities and a series of neural models
to identify them. The corpus comprises de-identified referrals from the waiting list in Chilean …

Objectives This comparative analysis aims to assess the efficacy of encoder Language
Models for clinical tasks in the Spanish language. The primary goal is to identify the most …

In this paper, we provide an overview of the eight annual edition of the Conference and Labs
of the Evaluation Forum (CLEF) eHealth evaluation lab. The Conference and Labs of the …

Background Medical lexicons enable the natural language processing (NLP) of health texts.
Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part …

This paper covers the participation of the SINAI team in the MedProcNER shared task and
the BioASQ workshop held on CLEF 2023. The main objective of this challenge is to create …

Real-word errors are characterized by being actual terms in the dictionary. By providing
context, real-word errors are detected. Traditional methods to detect and correct such errors …