用于个性化、预期医学的复杂数据仓库
A Complex Data Warehouse for Personalized, Anticipative Medicine
摘要：
随着新技术的日益普及，医疗保健正在发生重大变化。医学信息化需要开发医疗决策支持系统，需要对各种异构数据进行分析，如病历、医学影像、生物学分析结果等。本文提出了高水平运动员复杂数据仓库的设计。它在两个方面是原创的。首先，它旨在存储复杂的医疗数据。第二，它的设计允许创新的和完全不同的分析，以支持：（1）个性化和预期的药物（相对于治疗药物），为明确的患者;（2）宽带统计研究，在一个给定的人口的患者。此外，该系统包括与若干医学领域有关的数据。它还被设计为渐进式的，以考虑到医学研究的未来进展。
英文摘要：
With the growing use of new technologies, healthcare is nowadays undergoing significant changes. Information-based medicine has to exploit medical decision-support systems and requires the analysis of various, heterogeneous data, such as patient records, medical images, biological analysis results, etc. In this paper, we present the design of the complex data warehouse relating to high-level athletes. It is original in two ways. First, it is aimed at storing complex medical data. Second, it is designed to allow innovative and quite different kinds of analyses to support: (1) personalized and anticipative medicine (in opposition to curative medicine) for well-identified patients; (2) broad-band statistical studies over a given population of patients. Furthermore, the system includes data relating to several medical fields. It is also designed to be evolutionary to take into account future advances in medical research.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
