Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

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 …

Background The coronavirus disease (COVID-19) pandemic led to substantial public
discussion. Understanding these discussions can help institutions, governments, and …

Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

Despite improved ancillary investigations in epilepsy care, patients' narratives remain
indispensable for diagnosing and treatment monitoring. This wealth of information is …

Identifying unknown drug interactions is of great benefit in the early detection of adverse
drug reactions. Despite existence of several resources for drug–drug interaction (DDI) …

In the derived approach, an analysis is performed on Twitter data for World Cup soccer 2014
held in Brazil to detect the sentiment of the people throughout the world using machine …

Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …

A vast amount of scientific information is encoded in natural language text, and the quantity
of such text has become so great that it is no longer economically feasible to have a human …

Objective: We explore the framing of literature-based discovery (LBD) as link prediction and
graph embedding learning, with Alzheimer's Disease (AD) as our focus disease context. The …