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医学大数据的现状随着精准医学研究的推进,国际上主要的研究机构和资金机构已在大数据研究平台上投入大量人力物力。例如,美国国家卫生研究院(NIH)投资1亿美元建立“大数据知识”(bd2k)项目。“bd2k”把“生物医学”大数据定义为通过研究团体或个人调查产生的大数据集以及通过聚集小数据集产生的大数据集。最著名的医疗大数据的范例就是“医疗保险/医疗成本和利用”的数据库(超过1亿个观察数据)。医学大数据与其他领域的大数据最大的区别在于,由于
The status quo of medical big data With the advancing of precision medical research, the major international research institutions and funding agencies have invested a large amount of manpower and resources in the research platform of big data. For example, the National Institutes of Health (NIH) invested 100 million U.S. dollars in building the “big data knowledge” (bd2k) project. “bd2k” defines “biomedical” big data as large data sets generated by research group or individual surveys and large data sets generated by aggregating small data sets. An example of the most famous medical big data is the database of Medicare / Medical Costs and Utilization (over 100 million observations). The biggest difference between big data in medicine and other areas lies in the fact that