General Practitioners are among the primary users and curators of textual electronic health
records, highlighting the need for technologies supporting record access and administration …

Biomedical text summarization (BTS) is proving to be an emerging area of work and
research with the need for sustainable healthcare applications such as evidence-based …

The increasing volume of electronic text, especially in the biomedical domain, requires
automatic text summarization (ATS) to help researchers navigate and find relevant …

Background: The diversities of medical information resources and health information needs
in recent years have caused another form of summarization and abstract writing to appear in …

This research paper proposes a working model for the “ImageCLEFmed MEDIQA-Sum task”
of clinical note summarization in healthcare using machine learning algorithms. The model …

During COVID-19, a large repository of relevant literature, termed as" CORD-19", was
released by Allen Institute of AI. The repository being very large, and growing exponentially …

Text summarization is the process of finding specific information after reading the document
text and generating a short summary of the same. There are various applications of text …

Text Summarization is a technique in which the source documents are shortened, the
relevant information is filtered and a concise version is produced. It gives the gist of the …

As the access to the internet is increasing amongst people, the number of articles and text
write-ups is increasing day by day. This has made it difficult for a person to get information …

Since medical text summarization has become essential in facilitating rapid access to vital
information for healthcare professionals, this research paper introduces a novel hybrid …