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Erschienen in: Soft Computing 13/2023

18.04.2023 | Focus

A fast retrieval method of drug information based on multidimensional data analysis

verfasst von: Chenggong Yu

Erschienen in: Soft Computing | Ausgabe 13/2023

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Abstract

The medical industry is constantly improving its own structure with the development of society. However, most of the current drug management systems cannot meet the needs of actual drug management. There are many problems such as incomplete system functions, confusion of drug management, unclear division of modules, loss and waste of human resources. At present, hospitals need a new and perfect hospital drug information management. Drug management is an indispensable part of the hospital management system. This paper completes the design of the target drug rapid retrieval system, which is realized multidimensional data analysis technology, and tests the multidimensional data analysis algorithm model used. The improved multidimensional data analysis algorithm greatly improves the accuracy. The design and improvement of the system can effectively improve the drug processing efficiency of existing pharmacies through the design and simulation experiments, enable the pharmacy department to better cooperate with other departments to work, make the cooperation between different departments more effective, and solve the work efficiency problems of the hospital. By introducing multidimensional data analysis technology into the field of drug information retrieval, this paper designs an effective and fast retrieval method.

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Metadaten
Titel
A fast retrieval method of drug information based on multidimensional data analysis
verfasst von
Chenggong Yu
Publikationsdatum
18.04.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 13/2023
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-023-08161-5

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