Knowledge graphs that encapsulate personal health information, or personal health knowledge graphs (PHKG), can help enable personalized health care in knowledge-driven systems. In this paper we provide a short survey of existing work surrounding the emerging paradigm of PHKGs and highlight the major challenges that remain. We find that while some preliminary exploration exists on the topic of personal knowledge graphs, development of PHKGs remains under-explored. A range of challenges surrounding the collection, linkage, and maintenance of personal health knowledge remains to be addressed to fully realize PHKGs.
Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data
Oak Ridge National Laboratory（橡树岭国家实验室）；The University of Tennessee Health Science Center（田纳西大学健康科学中心）
A Self-Evolving Agent for Longitudinal Personal Health Management
School of Data Science, Fudan University（复旦大学数据科学学院）；School of Life Sciences, Beijing University of Chinese Medicine（北京中医药大学生命科学学院）；Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University（复旦大学脑科学与智能技术研究院）；School of Computer Science and Technology, Huazhong University of Science and Technology（华中科技大学计算机科学与技术学院）；JD.com, Inc.（京东公司）；Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education（复旦大学计算神经科学与类脑智能教育部重点实验室）；Department of Neurology, Huashan Hospital, Fudan University（复旦大学附属华山医院神经内科）
Non-Contact Health Monitoring During Daily Personal Care Routines
Department of Computer Technology and Applications（计算机技术与应用系）；National Key Laboratory of Human Factors Engineering（人因工程国家重点实验室）；Department of Computer Science and Technology（计算机科学与技术系）；Paul G. Allen School of Computer Science & Engineering（Paul G. Allen 计算机科学与工程学院）
