Abstract:

[Purpose/Significance] As the important medical big data, big electronic medical record(EMR) data has high value for research and application. However, it's difficult to use medical big EMR data effectively due to its multisource and heterogeneous characteristics. Therefore, it is necessary to study the organization of big EMR data for its characteristics. [Design/Methodology] This paper focuses on the natural relations between big EMR data and the disease knowledge system, and then proposes a framework of big EMR data organization model based on extended disease ontology(DO), multisource knowledge aggregation and medical big data mapping, which realizes integrated organization of disease knowledge system and big EMR data. [Findings/Conclusion] This paper conducts an empirical study by using Wikipedia and MIMIC dataset in order to validate the framework and method of the mode, which is found to be feasible and effective. [Originality/Value] The research can provide effective support for knowledge organization of big EMR data and multiknowledgedimensional precise accessibility, which expands the organization and application of medical big data, and contributes to improve the utilization of medical big data in hospital.

Keywords: Electronic Medical Record(EMR), Knowledge organization, Disease ontology(DO), Ontology expansion, Multi-source knowledge aggregation, Data mapping