Abstract
A Personal Health Record (PHR) records health data and relevant information about a healthcare patient. It is necessary to build a knowledge base to make the best of PHRs because of their rich value. Through literature review, this paper clarifies two problems in the field of PHR knowledge base construction, the lack of universal knowledge fusion framework and less consideration of fusion between of different types knowledge. For the problems, this paper proposes a knowledge fusion process model which can be used across fields. It consists of concept fusion, relation fusion, attribute fusion, domain fusion and instance fusion. Based on this theoretical model, this paper constructs hypertension PHR knowledge base through the design of conceptual model, knowledge extraction and knowledge fusion. In the process of knowledge fusion, both fusion of health knowledge from different sources and fusion of different types health knowledge are considered. Further more, this paper implements the application of the hypertension PHR knowledge base.
This research is part of the MOE Project of Key Research Institute of Humanities and Social Sciences at Universities “Research on mining and service of big data resources for medical and health _elds” (No: 17JJD870002).
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Fan, H., He, J. (2019). Knowledge Base Construction Based on Knowledge Fusion Process Model. In: Chen, H., Zeng, D., Yan, X., Xing, C. (eds) Smart Health. ICSH 2019. Lecture Notes in Computer Science(), vol 11924. Springer, Cham. https://doi.org/10.1007/978-3-030-34482-5_30
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DOI: https://doi.org/10.1007/978-3-030-34482-5_30
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