Department of Psychiatry, Gachon University Gil Medical Center, Incheon, Republic of Korea.
Department of Psychiatry, College of Medicine, Korea University, Seoul, Republic of Korea.
Adv Exp Med Biol. 2019;1192:3-15. doi: 10.1007/978-981-32-9721-0_1.
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.
现代社会是一个所谓的大数据时代。虽然几乎每个人都认识到了“大数据时代”，但没有人能确切定义多大的数据才算是“大数据”。大数据一词之所以模糊不清，主要是因为该术语的广泛使用。随着数字技术在日常生活中的广泛应用，每秒钟都会产生与每个人的行为相关的大量数据（即，通过传感器测量身体运动、通过社交网络服务发送和接收的文本）。此外，非人类数据（如天气和全球定位系统信号）也已从大数据的角度进行了累积和分析（Kan 等人，《国际环境研究与公共卫生杂志》15(4), 2018[1]）。大数据也影响了医学科学，包括精神病学领域（Monteith 等人，《国际双相情感障碍杂志》3(1):21, 2015[2]）。在本章中，我们首先介绍了“大数据”一词的定义。然后，我们讨论了将大数据应用于解决精神病学临床实践中问题的研究。
