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Preliminary Result on Finding Treatments for Patients with Comorbidity

机译：合并症患者寻找治疗的初步结果

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According to some research, comorbidity is reported in 35 to 80% of all ill people. Multiple guidelines are needed for patients with comorbid diseases. However, it is still a challenging problem to automate the application of multiple guidelines to patients because of redundancy, contraindicated, potentially discordant recommendations. In this paper, we propose a mathematical model for the problem. It formalizes and generalizes a recent approach proposed by Wilk and colleagues. We also demonstrate that our model can be encoded, in a straightforward and simple manner, in Answer Set Programming (ASP) - a class of Knowledge Representation languages. Our preliminary experiment also shows our ASP based implementation is efficient enough to process the examples used in the literature.
机译：根据一些研究，据报告合并症在所有患者中占35％至80％。合并症患者需要多种指导方针。然而，由于冗余，禁忌，可能不协调的建议，将多个指南自动应用于患者仍然是一个具有挑战性的问题。在本文中，我们为该问题提出了一个数学模型。它正式化和概括了Wilk及其同事提出的一种新方法。我们还演示了可以在答案集编程（ASP）（一类知识表示语言）中以简单明了的方式对模型进行编码。我们的初步实验还表明，基于ASP的实现足以处理文献中使用的示例。

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