人工智能在中药处方推荐中的应用及研究进展OA

TCM prescription recommendations play a crucial role in TCM treatment,aiming to recommend a set of TCM to treat patients' symptoms.Currently,the rapid development of artificial intelligence(AI)has brought new challenges and opportunities to TCM.AI-enhanced TCM recommendation systems can standardize the extensive and diverse relationships between formulas and syndromes,thereby helping to optimize standard formulas.Although recommendation systems have been widely applied in fields such as e-commerce,video,and news,the integration of AI with TCM prescription recommendation systems is still in its infancy and faces numerous challenges.Additionally,there is currently a lack of systematic literature reviews on TCM recommendation systems.This review systematically summarized the latest advancements in TCM recommendation systems.It summarized the data characteristics,processing methods,classification approaches,and evaluation metrics in TCM recommendation systems.This review aims to provide valuable information for the research field,assisting researchers in developing strategic plans for the advancement of TCM prescription recommendation systems.