Hospital Drug Logistics Behavior and Computer Automatic Purchase Algorithm Based on Deep Learning

With the rapid development of information technology, people are concerned about obtaining effective information from massive data. The E-commerce industry, for example, provides various options so that users can't get information quickly. Therefore, the recommendation system appears, which brings convenience to both the platform and users. This research offers a deep learning-based swarm intelligence recommendation method for logistics service transactions to improve matching accuracy and suggestion efficiency. To explore the methods of improving modern logistics management of hospital drugs. Aiming at the problems that need to be solved in each link of drug management, the modern logistics management technology is used for comparative analysis, and the effective implementation methods are studied. Optimize the hospital drug management process, realize the automatic processing of hospital drug purchasing data, and apply RFID barcode to complete drug warehousing acceptance. The application of modern logistics management technology to hospital drug management can reduce the drug circulation cost, reduce the simple and repeated operations of pharmaceutical professionals and improve the efficiency of hospital drug management. Compared with other algorithms, the proposed algorithm improves the accuracy and effectiveness of the recommendation algorithm to some extent.