Data mining-based integration method of infant emergency and critical information in modern hospital
by Juan Xiao; Jina Zhang; Xiaoli Liu
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 27, No. 4, 2023

Abstract: In this paper, a modern hospital infant emergency and critical information integration method based on data mining is designed. First of all, the data types of children's critical information in modern hospitals are analysed. Then, metadata is extracted through mapping relationship. Finally, the data missing value is filled in by the mean filling method, and the support and correlation of the data are calculated by the association rule algorithm, and the information integration model is constructed to realise the information data integration. The test results show that the error of the proposed method for the integration of children's emergency and critical information in modern hospitals is always lower than 0.3%, the throughput is always above 75 Mbps, and the maximum integration time is only 2.12 s, which has good practical application performance.

Online publication date: Tue, 17-Oct-2023

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