计算机与数字工程2024，Vol.52Issue(6)：1733-1738,6.DOI:10.3969/j.issn.1672-9722.2024.06.024
基于多标记学习的中医药方功能预测研究
Study of Function Prediction for Traditional Chinese Medicine Prescriptions Based on Multi-label Learning
摘要
Abstract
Different from the western medicine,the Traditional Chinese Medicine(TCM)has created an independent medi-cine system.During the past thousands years,TCM has accumulated a mass of mature prescriptions.Then,how to extract some po-tentially valuable knowledge from these TCM prescriptions has attracted many researchers in machine learning and data mining fields.This study considers to construct the mapping relationship between TCM prescription and its efficacies and to develop approxi-mately accurate TCM prescription efficacy prediction model by using multi-label learning techniques.The experiments are conduct-ed on multiple different multi-label learning algorithms and more than 1000 mature TCM prescriptions.The results show that the multi-label learning technique is capable of providing approximately accurate prediction for TCM prescriptions'efficacies.关键词
中医药方/功能预测/多标记学习/中草药Key words
TCM prescriptions/efficacy prediction/multi-label learning/herbs分类
建筑与水利引用本文复制引用
仇光明,于化龙..基于多标记学习的中医药方功能预测研究[J].计算机与数字工程,2024,52(6):1733-1738,6.基金项目
国家自然科学基金项目(编号:62176107) （编号:62176107）
江苏省自然科学基金项目(编号:BK20191457)资助. （编号:BK20191457）
