Due to the different risks faced by medical equipment at different stages of the entire lifecycle,there is a significant deviation in the relevant risk assessment results.Therefore,a medical equipment full lifecycle risk assessment method based on Particle Swarm optimization-Analytic Hierarchy Process(PSO-AHP)algorithm is proposed.Using the PSO-AHP algorithm,the composition of medical equipment risk factors was comprehensively analyzed from the design and development stages,procurement and installation stages,operation and maintenance stages,and scrapping and recycling stages throughout the entire life cycle of medical equipment.The specific risk factors were used as particles in the Particle Swarm optimization(PSO)algorithm,and the fitness function was minimized as the objective function to achieve optimization calculation of the entire life cycle risk of medical equipment.The test results indicate that the fit between the evaluation results of the design method and the actual risk value is the highest,and the corresponding deviation remains stable within 0.001.
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