Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …

Medical data are present in large amount and this is difficult to process for the diagnosis and
Healthcare organization requires effective technique to handle big data. Existing techniques …

Background The evaluation and management of first-time seizure-like events in children can
be difficult because these episodes are not always directly observed and might be epileptic …

News media always pursue informing the public at large. It is impossible to overestimate the
significance of understanding the semantics of news coverage. Traditionally, a news text is …

The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a
wave of opportunities in computational healthcare. The interactive nature of these models …

The classification of biomedical literature is engaged in a number of critical issues that
physicians are expected to answer. In many cases, these issues are extremely difficult. This …

Medical text classification organizes medical documents into categories to streamline
information retrieval and support clinical decision-making. Traditional machine learning …

Construction projects are capital-intensive and risk-prone, which can lead to serious claims
and disputes. Thus, early identification and intervention of potential risks in contracts play …

This paper develops a trustworthy deep learning model that considers electricity demand (G)
and local climate conditions. The model utilises Multi-Head Self-Attention Transformer …

The Bangla Language ranks seventh in the list of most spoken languages with 265 native
and non-native speakers around the world and the second Indo-Aryan language after Hindi …