Genetic algorithm combined with BP neural network in hospital drug inventory management system.

At present, there are problems such as low level of drug inventory management in major hospitals, which directly lead to the stagnation of the drug supply chain and the high cost of hospital management. In order to improve the efficiency of hospital drug inventory management, based on genetic algorithm and BP neural network, this study combined the actual situation of hospital drug inventory forecast to build a system model based on hospital drug management mode. At the same time, in order to verify the validity of the model, this paper collected experimental data through data collection, inputted data for model simulation analysis, and established a three-layer network simulation model. In addition, this paper analyzed the accuracy and sensitivity of model prediction based on actual conditions and compared the research results with actual data. Studies have shown that the model proposed in this study has certain effects and can be applied to hospital drug inventory management practices. [ABSTRACT FROM AUTHOR]