Background Free-text descriptions in electronic health records (EHRs) can be of interest for
clinical research and care optimization. However, free text cannot be readily interpreted by a …

Objective: The present study aims to investigate changes in the frequency of parent-child
contact among Europeans aged 65 years and over within the context of the COVID-19 …

The wide adoption of electronic health records (EHRs) offers immense potential as a source
of support for clinical research. However, previous studies focused on extracting only a …

Software vulnerabilities, once disclosed, can be documented in vulnerability databases,
which have great potential to advance vulnerability analysis and security research. People …

Despite efforts to develop models for extracting medical concepts from clinical notes, there
are still some challenges in particular to be able to relate concepts to dates. The high …

Abstract Concept extraction is crucial for a number of downstream applications. However,
surprisingly enough, straightforward single token/nominal chunk–concept alignment or …

The era of educational big data has sparked growing interest in extracting and organizing
educational concepts from massive amounts of information. Outcomes are of the utmost …

The text presents concepts of explainable artificial intelligence (XAI) in solving real world
biomedical and healthcare problems. It will serve as an ideal reference text for graduate …

Biomedical Named Entity Recognition (NER) is a fundamental task of Biomedical Natural
Language Processing for extracting relevant information from biomedical texts, such as …

Text classification is one of the prominent tasks in the field of Natural language Processing
as day by day the amount of textual data is growing rapidly, Therefore it is an emergent …