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收录时间:2018-09-05 16:08

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凶猛谷歌的AI技能竟能猜测患者何时会死

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  AI knows when you're going to die.But unlike in sci-fi movies,that information could end up saving lives.
 
  人工智能知道你的逝世时刻。但和科幻电影不同的是,这些信息最终可能会抢救生命。
 
  A new paper published in Nature suggests that feeding electronic health record data to a deep learning model could substantially improve the accuracy of projected outcomes.
凶猛谷歌的AI技能竟能猜测患者何时会死
  一篇宣布在《天然》杂志上的新论文显现,深度学习模型的进食电子健康数据能够大幅进步猜测成果的准确性。
 
  In trials using data from two US hospitals,researchers were able to show that these algorithms could predict a patient's length of stay and time of discharge,but also the time of death.
 
  在使用了两家美国医院数据的实验中,研讨人员能够证明这些算法不只能够猜测患者的住院天数和出院时刻,还能猜测逝世时刻。
 
  The neural network described in the study uses an immense amount of data,such as a patient's vitals and medical history,to make its predictions.
 
  研讨中所描绘的神经网络使用了很多的数据进行猜测,比方患者的生命特征和病史。
 
  A new algorithm lines up previous events of each patient's records into a timeline,which allowed the deep learning model to pinpoint future outcomes,including time of death.
 
  一种新的算法将每个患者所记载的活动阅历排列成一个时刻轴,这使得深度学习模型能够断定包含逝世时刻在内的未来的成果。
 
  The neural network even includes handwritten notes,comments,and scribbles on old charts to make its predictions.And all of these calculations are done in record time,of course.
 
  用于猜测的神经网络乃至包含在旧图表上手写的笔记、谈论和涂鸦。当然,一切的这些核算都是在记载时刻内完结的。
 
  What can we do with this information,besides fear the inevitable?Hospitals could find new ways to prioritize patient care,adjust treatment plans,and catch medical emergencies before they even occur.
 
  除了惧怕这些不可避免的工作,咱们还能用这些信息做什么?医院能够找到新的方法来优先照顾患者,调整医治计划,并在发作紧急情况之前及时处理医疗事故。
 
  It could also free up healthcare workers,who would no longer have to manipulate the data into a standardized,legible format.
 
  它也能够解放医疗工作者,他们不再需要将数据转换成标准化的、更易读取的格局。
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