Author/Authors :
Lee, Kwangha Department of Internal Medicine - Pusan National University School of Medicine - Busan, Korea
Abstract :
Data science can be defined as “the set of fundamental principles that support and guide the
principled extraction of information and knowledge from data” [1]. Current advances in data
science have resulted in a new era of “big data.” Digitalization of the health-care system and
the use of big data have changed the way that we can conduct clinical research [2], because
size, complexity, and dynamic nature are beyond the scope of traditional data collection and
analysis methods [3]. Also, widespread implementation of electrical medical records is bringing the world of data science to the patient’s bedside; the potential benefits of big data to
health care will be increasingly significant. Recently, big data and data science have been
gradually infiltrating many aspects of clinical research in critical care, which could be familiar
to many intensivists.