Textual documents serve as representations of discussions on a variety of subjects. These
discussions can vary in length and may encompass a range of events or factual information …

Unstructured data in electronic health records, represented by clinical texts, are a vast
source of healthcare information because they describe a patient's journey, including clinical …

Objectives This study focuses on refining temporal relation extraction within medical
documents by introducing an innovative bimodal architecture. The overarching goal is to …

Recent efforts in clinical natural language processing research have focused on mining
social media data and other user-generated data relevant to COVID-19. An increasing …

Electronic health records (EHR) improves the quality and effectiveness of healthcare. The
introduction of blockchain opens up new paths in the development trend of EHR. This review …

In recent years with the development of deep learning and the increasing demand for
medical information acquisition in medical information technology applications such as …

Background and Objectives: Clinical Practice Guidelines (CPGs) represent the foremost
methodology for sharing state-of-the-art research findings in the healthcare domain with …

In recent years, with the development of deep learning and the increasing demand for
medical information acquisition in medical information technology applications such as …

A model-assisted system for determining a patient event date may include a processor. The
processor may be programmed to access a database storing a medical record associated …