Predict or draw blood: an integrated method to reduce lab tests.,Journal of Biomedical informatics

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Predict or draw blood: an integrated method to reduce lab tests.
Journal of Biomedical informatics ( IF 4.0 ) Pub Date : 2020-02-26 , DOI: 10.1016/j.jbi.2020.103394
Lishan Yu ₁ , Qiuchen Zhang ₂ , Elmer V Bernstam ₃ , Xiaoqian Jiang ₄

Affiliation

Serial laboratory testing is common, especially in Intensive Care Units (ICU). Such repeated testing is expensive and may even harm patients. However, identifying specific tests that can be omitted is challenging. The search space of different lab tests is large and the optimal reduction is hard to determine without modeling the time trajectory of decisions, which is a nontrivial optimization problem. In this paper, we propose a novel deep-learning method with a very concise architecture to jointly predict future lab test events to be omitted and the values of the omitted events based on observed testing values. Using our method, we were able to omit 15% of lab tests with <5% prediction accuracy loss. Although the application is specific to repeated lab tests, our proposed framework is highly generalizable and can be used to tackle a family of similar business decision making problems.

中文翻译：

预测或抽血：减少实验室测试的综合方法。

串行实验室测试很常见，尤其是在重症监护病房（ICU）中。这样的重复测试很昂贵，甚至可能伤害患者。但是，确定可以省略的特定测试具有挑战性。不同实验室测试的搜索空间很大，如果不对决策的时间轨迹进行建模，就很难确定最优缩减，这是一个非平凡的优化问题。在本文中，我们提出了一种新颖的深度学习方法，该方法具有非常简洁的体系结构，可以根据观察到的测试值共同预测将来将要省略的实验室测试事件和忽略事件的值。使用我们的方法，我们能够省略15％的实验室测试，而预测准确度损失小于5％。尽管该应用程序特定于重复的实验室测试，

更新日期：2020-02-26

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