现有的患者数据分析平台无法整合具有上下文，个性化和主题性的信息。为了使推荐系统对查询做出适当的响应或从患者数据中得出有意义的见解，推荐系统应考虑有关患者健康史的个人信息，包括但不限于其当前适用于患者的偏好，位置和生活选择他们。在这篇综述文件中，我们对这个领域的现有文献进行了评论，并讨论了为患者设计，构建和操作个人健康知识图谱（PHKG）带来的各种研究挑战。
原文标题：Personal Health Knowledge Graphs for Patients
原文：Existing patient data analytics platforms fail to incorporate information that has context, is personal, and topical to patients. For a recommendation system to give a suitable response to a query or to derive meaningful insights from patient data, it should consider personal information about the patient's health history, including but not limited to their preferences, locations, and life choices that are currently applicable to them. In this review paper, we critique existing literature in this space and also discuss the various research challenges that come with designing, building, and operationalizing a personal health knowledge graph (PHKG) for patients.
原文作者：Nidhi Rastogi, Mohammed J. Zaki
原文地址：https://arxiv.org/abs/2004.00071
患者的个人健康知识图(CS.AI).pdf