In this study,a personalized drug recommendation system for pharmacies based on deep learning technology is developed to improve the accuracy and personalization of drug recommendation.The system collects and preprocesses pharmacy member data,and uses deep learning models to analyze users'health status and drug interactions.The results show that,this system outperforms traditional methods in terms of accuracy and recall rate.Through customer feedback and surveys,the effectiveness of the system and customer satisfaction are verified,the application potential of deep learning in the field of drug recommendation is demonstrated,and a new technical approach is provided for related practitioners.
关键词
深度学习/个性化推荐/药店会员系统/效能评估
Key words
deep learning/personalized recommendation/pharmacy membership system/evaluation of effectiveness
维普
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