Big Data and Discovery Sciences in Psychiatry

Kyoung Sae Na, Changsu Han, Yong Ku Kim

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

The modern society is a so-called era of big data. Whereas nearly everybody recognizes the “era of big data”, no one can exactly define how big the data is a “big data”. The reason for the ambiguity of the term big data mainly arises from the widespread of using that term. Along the widespread application of the digital technology in the everyday life, a large amount of data is generated every second in relation with every human behavior (i.e., measuring body movements through sensors, texts sent and received via social networking services). In addition, nonhuman data such as weather and Global Positioning System signals has been cumulated and analyzed in perspectives of big data (Kan et al. in Int J Environ Res Public Health 15(4), 2018 [1]). The big data has also influenced the medical science, which includes the field of psychiatry (Monteith et al. in Int J Bipolar Disord 3(1):21, 2015 [2]). In this chapter, we first introduce the definition of the term “big data”. Then, we discuss researches which apply big data to solve problems in the clinical practice of psychiatry.

Original languageEnglish
Title of host publicationAdvances in Experimental Medicine and Biology
PublisherSpringer New York LLC
Pages3-15
Number of pages13
DOIs
Publication statusPublished - 2019 Jan 1

Publication series

NameAdvances in Experimental Medicine and Biology
Volume1192
ISSN (Print)0065-2598
ISSN (Electronic)2214-8019

Keywords

  • Big data
  • Delirium
  • Electronic health records
  • Psychiatry
  • Suicide

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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