Computer Management Design and Optimization of City Smart Medical Laboratory Service. (10th November 2021)

• Record Type: Journal Article
• Authors: Jin, Xiangdong; Zhang, Xia; Fan, Tianli; Song, Yinsen
• Other Names: Sun Gengxin Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2021(2021)
• Publication Date: 2021-11-10
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2021/2083416
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In order to optimize the computer management of smart medical laboratory services and find the optimal solution, we conducted experiments on the laboratory computers of hospitals in this city based on the RBF neural network, which provided references for other researchers. Through the collection of relevant data, this article summarizes and analyzes the existing medical laboratory research, summarizes the existing problems and development directions of the current laboratory, uses the RBF neural network to modify these models, and innovatively achieves a hospital laboratory computer management optimization system with the characteristics of high efficiency, low energy consumption, and fast response. The experimental results prove that the computer management and optimization of laboratory services are optimized through the RBF neural network, and the efficiency of computer management design and optimization is greatly improved. It is about 20% higher than traditional medical laboratory. This shows that the computer management design and optimization of smart medical laboratory services designed by RBF neural network can play an important role in the construction of hospital laboratories.