Objectives A substantial portion of the data contained in Electronic Health Records (EHR) is
unstructured, often appearing as free text. This format restricts its potential utility in clinical …

Objectives: To analyse the content of publications within the medical Natural Language
Processing (NLP) domain in 2022. Methods: Automatic and manual preselection of …

The aim of this study is to detect expressions of violence against healthcare workers using
natural language processing techniques. Experiments on various NLP models have shown …

In recent years, Knowledge Graphs have become increasingly popular thanks to the
potential of Semantic Web technologies and the development of NoSQL graph-based. A …

BACKGROUND: In the realm of academia, psychosocial risk factors play a pivotal role,
exerting considerable influence on the well-being and performance of scholars. Factors …

Background & Aim: Occupational psychosocial risks are among significant factors impacting
the working conditions and personal lives of nurses across all units, particularly in intensive …

To develop a semi-supervised learning model, it is necessary to have a little labeled data
and a lot of unlabeled data. The data labeling process requires great effort and must involve …

Methods A systematic search of PubMed, IEEE Xplore, and Web of Science was conducted
to identify relevant articles published in English between January 2014-January 2024 …

La empresa Hularuss Cía. Ltda. se ha dedicado a la comercialización de productos de
primera necesidad durante 24 años, tiempo durante en el cual sus colaboradores han …

El presente trabajo académico se realiza como consultoría científico técnica con la cual se
busca generar una propuesta didáctica para la socialización de estrategias de prevención …