首页> 外文期刊>JAMA: the Journal of the American Medical Association >Data mining approach shows promise in detecting unexpected drug interactions.
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Data mining approach shows promise in detecting unexpected drug interactions.

机译:数据挖掘方法在检测意外药物相互作用方面显示出希望。

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"FDA AERS sometimesgets criticized as filled with biases and not useful. It can certainly be improved, but it has some useful information, for sure," said Altman. "Also, EMRs were really critical in our study because they allowed us to validate our FDA-derived predictions at minimal cost." Lead author Nicholas Tatonetti added that the expanding presence of EMR systems represents a new and growing opportunity to study drug effects in real time. "This is especially important in the case of drug-drug interactions where the effect may not appear until a very large cohort of patients has been exposed," he said.
机译:奥特曼说:“ FDA AERS有时会被批评为充满偏见而不是有用的。它当然可以加以改进,但可以肯定地提供了一些有用的信息。” “此外,EMR在我们的研究中确实至关重要,因为它们使我们能够以最小的成本验证FDA得出的预测。”主要作者尼古拉斯·塔托内蒂(Nicholas Tatonetti)补充说,电子病历系统的不断扩展为实时研究药物作用提供了一个新的且不断增长的机会。他说:“在药物与药物相互作用的情况下,这一点尤为重要,在这种相互作用中,只有大量患者暴露出来,这种作用才可能显现。”

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