Investigating Medical Scenario Mining for the improvement of Clinical Training******

CAE-Healthcare一直在寻求改进基于模拟的学习的方法。在这个项目中，我们探索如何利用自然语言处理和机器学习技术从医疗场景中进行知识挖掘。具体而言，目标是a)开发一个知识库，作为医疗问题回答的后端；b)自动识别用于填充知识库的医疗场景中的元素，如症状和情绪。****

CAE-Healthcare is continuously seeking ways to improve simulation-based learning. In this project, we explore how natural language processing and machine learning techniques can be leveraged for knowledge mining from medical scenarios. In particular, the objective is a) to develop a knowledge base that acts as a backend for medical question answering and b) to automatically identify elements from medical scenarios such as symptoms and emotions that are used to populate the knowledge base.****