The finding, from a recently published research paper, is based on results of experiments correlating specific individuals with accounts or posts across more than one social media platform. The success rate was far greater than existing classical deanonymization work that relied on humans assembling structured data sets suitable for algorithmic matching or manual work by skilled investigators. Recall—that is, how many users were successfully deanonymized—was as high as 68 percent. Precision—meaning the rate of guesses that correctly identify the user—was up to 90 percent.
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医药行业的创新,终究要回归 “以患者为中心” 的本质。当更多企业如亚虹医药一样,扎根临床未满足需求,深耕细作,国产创新药的大单品时代,必将迎来更激荡的未来。