The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …

Medical data is an important part of modern medicine. However, with the rapid increase in
the amount of data, it has become hard to use this data effectively. The development of …

In the past few years, large pre-trained language models (PLMs) have been widely adopted
in different areas and have made fundamental improvements over a variety of downstream …

Cold-start diagnosis prediction is a challenging task for AI in healthcare, where often only a
few visits per patient and a few observations per disease can be exploited. Although meta …

Abstract Event Argument Extraction (EAE) is one of the sub-tasks of event extraction, aiming
to recognize the role of each entity mention toward a specific event trigger. Despite the …

Abstract Background Intensive Care Unit (ICU) readmissions represent both a health risk for
patients, with increased mortality rates and overall health deterioration, and a financial …

Heart failure has become a huge public health problem, and failure to accurately predict
readmission will further lead to the disease's high cost and high mortality. The construction …

Deep learning models have demonstrated superior performance in various healthcare
applications. However, the major limitation of these deep models is usually the lack of high …

Electronic health records (EHRs) are an increasingly important source of information for
healthcare professionals and researchers. However, EHRs are often fragmented …

Document representation is the basis of language modeling. Its goal is to turn natural
language text that flows into a structured form that can be stored and processed by a …