Abstract
With the rapid development of electronic communication technology, data acquisition systems have been widely used in all aspects of people's daily lives. Especially in the medical field, there is an urgent need for a pharmaceutical survey data collection and analysis system. In the massive pharmaceutical survey data, the principal component analysis algorithm is used to condense the attribute variables of the original data, which greatly improves the efficiency of data collection and analysis. Based on this, this article will study the pharmacy survey data collection and analysis system based on principal component analysis algorithm. This text first carries on the system function structure design, designs the system development framework from the hardware layer, the interface layer, and the middle layer. This paper designs the functional modules of the system in detail, including account management, file management, and report management. Finally, the system found through testing that the average delay for obtaining diagnostic reports, previous inspections, static files, and querying patient information were all about 40ms. This shows that the system runs at a high speed and can meet practical applications.
Published Version
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