Knowledge-based biomedical data science involves the design and implementation of
computer systems that act as if they knew about biomedicine. Such systems depend on …

The COVID-19 pandemic has been truly global and multidimensional in scope, with
ramifications extending well beyond health. Yet, unlike previous crises, there is hope that …

Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …

Background Knowledge is often produced from data generated in scientific investigations.
An ever-growing number of scientific studies in several domains result into a massive …

Background Interactive data visualization and dashboards can be an effective way to
explore meaningful patterns in large clinical data sets and to inform quality improvement …

An increasing amount of data is now available from public and private sources. Furthermore,
the types, formats, and number of sources of data are also increasing. Techniques for …

Purpose Patients with cancer often believe dietary supplements (DS) such as micronutrients
and botanical products to be health supporting and non-toxic despite growing concerns …

Background: With the increasing incidences and mortality of digestive system tumor
diseases in China, ways to use clinical experience data in Chinese electronic medical …

While a large number of knowledge graphs have previously been developed by
automatically extracting and structuring knowledge from literature, there is currently no such …

One of the substances with high potential to cause damage that is used widely in chemical
plants is liquefied petroleum gas (LPG). The aim of the present study is to model the …