论文标题
通过答案集编程计划和计划数字健康计划
Planning and Scheduling in Digital Health with Answer Set Programming
论文作者
论文摘要
在医院世界中，存在一些复杂的组合问题，解决这些问题对于提高患者的满意度和提供的护理质量很重要。医疗保健中的问题很复杂，因为解决了几个限制，应考虑不同类型的资源。此外，必须在少量时间内评估解决方案，以确保实际情况下的可用性。我们计划针对这类问题提出解决方案，包括扩展已经测试的解决方案，并考虑到新问题的解决方案，并考虑到文献，并在可用时使用真实数据。解决这类问题很重要，但是，由于欧盟委员会根据一般数据保护法规确定，每个人都有权利要求解释AI做出的决定，而无需开发可解释性方法，因此使用了基于AI的求解器，例如。基于答案集编程的人将受到限制。因此，研究的另一部分将专门研究并提出了解释获得的解决方案的新方法。
In the hospital world there are several complex combinatory problems, and solving these problems is important to increase the degree of patients' satisfaction and the quality of care offered. The problems in the healthcare are complex since to solve them several constraints and different type of resources should be taken into account. Moreover, the solutions must be evaluated in a small amount of time to ensure the usability in real scenarios. We plan to propose solutions to these kind of problems both expanding already tested solutions and by modelling solutions for new problems, taking into account the literature and by using real data when available. Solving these kind of problems is important but, since the European Commission established with the General Data Protection Regulation that each person has the right to ask for explanation of the decision taken by an AI, without developing Explainability methodologies the usage of AI based solvers e.g. those based on Answer Set programming will be limited. Thus, another part of the research will be devoted to study and propose new methodologies for explaining the solutions obtained.
