現有的患者資料分析平台無法整合具有上下文，個性化和主題性的資訊。為了使推薦系統對查詢做出适當的響應或從患者資料中得出有意義的見解，推薦系統應考慮有關患者健康史的個人資訊，包括但不限于其目前适用于患者的偏好，位置和生活選擇他們。在這篇綜述檔案中，我們對這個領域的現有文獻進行了評論，并讨論了為患者設計，建構和操作個人健康知識圖譜（PHKG）帶來的各種研究挑戰。
原文标題：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
原文位址：https://arxiv.org/abs/2004.00071
患者的個人健康知識圖(CS.AI).pdf