Deep Learning Method for Personalized Drug Recommendation System in Pharmacies
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.
deep learningpersonalized recommendationpharmacy membership systemevaluation of effectiveness
万方数据
维普
