Abstract：
Taking several medications at the same time is an increasingly common phenomenon in our society. The combination of drugs is certainly not without risk of potentially dangerous interactions. Taking into account all possible interactions is a very complex task as it is not yet known what all possible interactions between drugs and their types are. Machine learning based models have been developed to help with this task. However, the output of these models is not structured enough to be integrated in a clinical reasoning process on interactions. In this work, we propose a clinically relevant and technically feasible model and strategy for drug interactions.
摘要：
在我们的社会中，同时服用几种药物是一种越来越普遍的现象。药物的组合肯定不是没有潜在危险相互作用的风险。考虑到所有可能的相互作用是一项非常复杂的任务，因为还不知道药物及其类型之间的所有可能的相互作用是什么。已经开发了基于机器学习的模型来帮助完成这项任务。然而,这些模型的输出结构不足以整合到关于交互的临床推理过程中.在这项工作中,我们提出了一种临床相关且技术上可行的药物相互作用模型和策略.
