Abstracts: NLP has become an important tool in healthcare, particularly in extracting clinical
information from EHRs in order to help enhance cancer prognosis. EHRs store vast amounts …

Transformer models have demonstrated remarkable performance in neural machine
translation (NMT). However, their vulnerability to noisy input poses a significant challenge in …

Non-communicable diseases, such as cardiovascular disease, cancer, chronic respiratory
diseases, and diabetes, are responsible for approximately 71% of all deaths worldwide …

Extracting useful knowledge from proper data analysis is a very challenging task for efficient
and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) …

Imbalanced data classification is an important problem in the field of computer science.
Traditional classification algorithms often experience a decrease in accuracy when the data …

Big data refers to a large amount of data generated and distributed across diverse data
sources from open, private, social, and Internet of Things (IoT). Understanding and …

Objective Transformer-based language models are prevailing in the clinical domain due to
their excellent performance on clinical NLP tasks. The generalizability of those models is …

This paper aims to accurately assess and effectively manage various security risks in the
community and overcome the challenges faced by traditional models in handling large …

In this day and age where convenience is king a new competitor in the form of chat-bots has
appeared which requires users to only have prior knowledge on the language the chat-bot …

The evolution of information technology combined with artificial intelligence, IoT (Internet of
Things) and robotics has made processes integrated and intelligent. The increased use of …