Universally, the volume of data has increased, with the collection rate doubling every 40
months, since the 1980s.“Big data” is a term that was introduced in the 1990s to include data …

Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

Artificial intelligence (AI) is a growing phenomenon, and will soon facilitate wide-scale
changes in many professions, including medical education. In order for medical educators to …

Artificial intelligence, and particularly machine learning, has been used in many ways by the
research community to turn a variety of diverse and even heterogeneous data sources into …

Health care professionals produce abundant textual information in their daily clinical
practice and this information is stored in many diverse sources and, generally, in textual …

There are many factors that affect athletes' sports performance in sports competitions. The
traditional sports performance prediction method is difficult to obtain more accurate sports …

Objective In biomedicine, there is a wealth of information hidden in unstructured narratives
such as research articles and clinical reports. To exploit these data properly, a word sense …

Rational vaccine design, especially vaccine antigen identification and optimization, is critical
to successful and efficient vaccine development against various infectious diseases …

Background An adverse drug event (ADE) is any unfavorable effect that occurs due to the
use of a drug. Extracting ADEs from unstructured clinical notes is essential to biomedical text …

The main goal of this book is to provide an understanding of the theory, implementation, and
evaluation of information retrieval (IR) systems in biomedicine and health. There is already a …