Surplus value quantification of overdue medical devices based on Kohonen network algorithm.

ABSTRACT: With the continuous updating and progress of medical equipment, the overdue medical device has problems such as management difficulties, resource waste, and potential security risks. Therefore, this paper used the Kohonen network algorithm to quantitatively evaluate and analyze the surplus value of overdue medical devices. In this paper, the Kohonen network algorithm was used to build a quantitative model of the surplus value of the overdue medical device, and the self-organization characteristics and data-driven learning ability of the Kohonen network were used to predict the surplus value of the equipment more accurately. Support vector machine was used to quantitatively evaluate and predict the surplus value of overdue medical devices, and further optimize the model performance, to prov

SUBMITTER: Tan X 

PROVIDER: S-EPMC11442436 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature