Purpose This study aims to report on an automatic deidentification system for labeling and
obfuscating personally identifiable information (PII) in student-generated text …

Nonverbal messages (NM) such as speakers' facial expressions and speed of speech are
essential for face-to-face communication, and they can be regarded as implicit knowledge …

Text Annotation is the process of adding metadata in the text and used in various tasks like
natural language processing (NLP) and machine learning models. Named entity recognition …

Objective Clinical observations suggest that individuals with a diagnosis of bipolar face
difficulties regulating emotions and impairments to their cognitive processing, which can …

While the causes of failures in complex engineered systems are often clear in hindsight, it
can be challenging to predict failures proactively during the design of novel engineered …

Methods Our paper explores the field of Biomedical Named Entity Recognition (BioNER) by
closely analysing two advanced models, SciSpaCy and BioBERT. We have made two …

Following a patient consultation, the clinicians and supporting staff are responsible for
determining and arranging the next clinical steps for the patient. A clinician may, for …

Biomedical named entity recognition (Bio-NER) is a highly complex and time-consuming
research domain using natural language processing (NLP). It's widely used in information …

With the emerging evolution of knowledge graphs (KGs) and their broad adoption by
industry, an automatic KG generation despite the input format is necessary. In this chapter …

Abstract Information-based health systems aimed at improving clinical decision-making are
appealing as they are able to cope with the rising amount of information that clinicians are …