Making big data useful for health care: a summary of the inaugural mit critical data conference.
Making big data useful for health care: a summary of the inaugural mit critical data conference.
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DOI：
10.2196/medinform.3447
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发表时间：
2014-08-22
影响因子：
3.2
通讯作者：
MIT Critical Data Conference 2014 Organizing Committee
中科院分区：
文献类型：
--
作者：
Badawi O;Brennan T;Celi LA;Feng M;Ghassemi M;Ippolito A;Johnson A;Mark RG;Mayaud L;Moody G;Moses C;Naumann T;Pimentel M;Pollard TJ;Santos M;Stone DJ;Zimolzak A;MIT Critical Data Conference 2014 Organizing Committee
随着越来越多的人担心大数据只会加剧不可靠研究的问题，马萨诸塞州理工学院的计算生理学实验室于2014年1月组织了关键数据会议。来自学术界、政府和工业界跨学科的思想领袖--包括临床医学、计算机科学、公共卫生、信息学、生物医学研究、卫生技术、统计学和流行病学--聚集在一起，讨论大数据在医疗保健中的陷阱和挑战。会议的关键信息是，大量数据的价值取决于研究人员在开放环境中共享数据、方法和发现的能力。如果要从回顾性数据的分析中获得经验价值，各小组必须不断就类似问题进行合作，以创造更有效的同行评议。这将导致方法和质量的改进，每次迭代的分析都会带来更高的可靠性。
With growing concerns that big data will only augment the problem of unreliable research, the Laboratory of Computational Physiology at the Massachusetts Institute of Technology organized the Critical Data Conference in January 2014. Thought leaders from academia, government, and industry across disciplines—including clinical medicine, computer science, public health, informatics, biomedical research, health technology, statistics, and epidemiology—gathered and discussed the pitfalls and challenges of big data in health care. The key message from the conference is that the value of large amounts of data hinges on the ability of researchers to share data, methodologies, and findings in an open setting. If empirical value is to be from the analysis of retrospective data, groups must continuously work together on similar problems to create more effective peer review. This will lead to improvement in methodology and quality, with each iteration of analysis resulting in more reliability.