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Research and Design of a Database for Intelligent Medication Taking in Traditional Chinese Medicine

Published: 05 April 2024 Publication History

Abstract

With the continuous development of computer technology and database technology, its auxiliary role in the study of traditional Chinese medicine is also gradually revealed, and the impact of the database on traditional Chinese medicine is becoming more and more obvious. In this paper, the database of medication can be served has the advantages of simple interface and quick start, meanwhile, the database includes data from three aspects, namely, ancient books, masters of Chinese medicine and modern clinical prescriptions, and the available prescriptions can be queried by the name of the prescription, alias and applicable symptoms, and the queried prescriptions contain information such as dosage of the medicine, time of serving, temperature of serving, frequency of serving, etc. The system is designed to be easy for users to use and maintain in the background, and the front-end and back-end are separated. The database designed by the system is convenient for users to use and maintain in the background, the front and back ends are separated, the background only focuses on algorithms, improves the interface to the front-end, the front-end displays the data according to the interface, and only needs to deal with the business logic of the front-end, interface optimization and so on. Intelligent medication database is a product of the combination of database and medication method, Chinese medicine ancient literature is a huge number of documents, a variety of types, complex content, manually go through the original text to obtain a limited amount of information, the study of intelligent medication database will be able to well solve this problem.

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ISAIMS '23: Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science
October 2023
1394 pages
ISBN:9798400708138
DOI:10.1145/3644116
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Published: 05 April 2024

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