摘要
本文总结了大型队列数据资源的内容与主要研究方法。简要介绍了国际较为著名的8个大型队列数据资源所包含的数据内容、主要功能和获取权限;总结了队列数据应有的处理规范,介绍了现有国际大型队列数据包含的主要数据类型和主要分析方法。分析了中国大型队列数据资源的发展现状,阐述了队列数据在生物医学研究领域的巨大作用以及其未来的发展方向,有助于完善我国自己的多层次精准医学知识库体系,建设安全、稳定、可操作性强的生物医学大数据平台。
This paper summarizes large-scale population-based cohort data resources and primary research methods,briefly describes the data content,main features and access rights contained in the internationally better-known data resources for eight large cohorts.The main data types and the main analytic approach included in the cohort data resource are presented.In addition,we analyzed the current state of large-scale cohort resources in China,summarized the cohort data processing specifications,stated its huge role in biomedical research field and its future direction,which will help to refine our own multi-level precision medicine knowledge base system and build a biomedical big data platform with safe and stable actionability.
作者
葛令乔
渠鸿竹
方向东
GE Lingqiao;QU Hongzhu;FANG Xiangdong(CAS Key Laboratory of Genome Sciences and Information,Beijing Institute of Genomics/China National Center for Bioinformation,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《中国卫生信息管理杂志》
2023年第3期475-481,共7页
Chinese Journal of Health Informatics and Management
基金
国家“精准医学研究”重点研发计划项目《肿瘤与心梗演变的人工智能预测模型研究》(项目编号:2021YFF0703704)
《健康体检大数据标准化体系构建》(项目编号:2020YFC2003402)。
