We introduce a framework for AI-based medical consultation system with knowledge graph embedding and reinforcement learning components and its implement. Our implement of this framework leverages knowledge organized as a graph to have diagnosis according to evidence collected from patients recurrently and dynamically. According to experiment we designed for evaluating its performance, it archives a good result. More importantly, for getting better performance, researchers can implement it on this framework based on their innovative ideas, well designed experiments and even clinical trials.

翻译：我们引入了以AI为基础的医疗咨询系统框架,其中包含知识图嵌入和强化学习内容及其实施。我们实施这一框架利用了以图表形式整理的知识,以便根据从病人经常和动态收集的证据进行诊断。根据我们为评估其绩效而设计的实验,它记录了一个良好的结果。更重要的是,为了取得更好的绩效,研究人员可以基于其创新想法、设计良好的实验甚至临床试验来实施这一框架。