• Title of article

    Critical Care Research Using “Big Data”: A Reality in the Near Future

  • Author/Authors

    Lee, Kwangha Department of Internal Medicine - Pusan National University School of Medicine - Busan, Korea

  • Pages
    2
  • From page
    269
  • To page
    270
  • 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.
  • Keywords
    Big Data , Physiology , ICU
  • Journal title
    Acute and Critical Care
  • Serial Year
    2018
  • Record number

    2622312