大数据正在进入精神病学领域：概论。
Big data are coming to psychiatry: a general introduction.
机构信息
Michigan State University College of Human Medicine, Traverse City Campus, 1400 Medical Campus Drive, Traverse City, MI, 49684, USA.
ChronoRecord Association, Inc., Fullerton, CA, 92834, USA.
出版信息
Int J Bipolar Disord. 2015 Dec;3(1):21. doi: 10.1186/s40345-015-0038-9. Epub 2015 Sep 29.
Abstract
Big data are coming to the study of bipolar disorder and all of psychiatry. Data are coming from providers and payers (including EMR, imaging, insurance claims and pharmacy data), from omics (genomic, proteomic, and metabolomic data), and from patients and non-providers (data from smart phone and Internet activities, sensors and monitoring tools). Analysis of the big data will provide unprecedented opportunities for exploration, descriptive observation, hypothesis generation, and prediction, and the results of big data studies will be incorporated into clinical practice. Technical challenges remain in the quality, analysis and management of big data. This paper discusses some of the fundamental opportunities and challenges of big data for psychiatry.
摘要
大数据正在进入双相情感障碍和整个精神病学的研究领域。数据来自提供者和付款人（包括电子病历、成像、保险索赔和药房数据）、组学（基因组学、蛋白质组学和代谢组学数据），以及来自患者和非提供者（来自智能手机和互联网活动、传感器和监测工具的数据）。对大数据的分析将为探索、描述性观察、假设生成和预测提供前所未有的机会，并且大数据研究的结果将被纳入临床实践。大数据的质量、分析和管理方面仍然存在技术挑战。本文讨论了大数据为精神病学带来的一些基本机遇和挑战。
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