摘要
机器学习在针刺处方优化、智能治疗、精准医疗领域应用日益广泛,并取得一定成果。然而相关研究仍存在模型可解释性较差、针刺研究数据集质量参差不齐、所构建模型在临床实际应用中难以落地等亟待解决的问题。因此,未来研究应以获取高质量临床及实验数据集为中心,以各类机器学习算法为抓手,着力构建解决各类针刺领域问题的专业模型,推动针刺领域研究的高质量发展。
The machine learning is used increasingly and widely in acupuncture prescription optimization,intelligent treatment and precision medicine,and has obtained a certain achievement.But,there are still some problems remained to be solved such as the poor interpretability of the model,the inconsistency of data quality of acupuncture research,and the clinical application of constructed models.Researches in future should focus on the acquisition of high-quality clinical and experimental data sets,take various machine learning algorithms as the basis,and construct professional models to solve various problems,so as to drive the high-quality development of acupuncture research.
作者
武思仙
吴林纳
胡怡
徐志杰
徐帆
于瀚博
李桂平
WU Sixian;WU Linna;HU Yi;XU Zhjie;XU Fan;YU Hanbo;LI Guiping(Department of Acupuncture and Moxibustion,First Teaching Hospital of Tianjin University of TCM,Tianjin 300193,China;National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion,Tianjin 300193;Graduate School,Tianjin University of TCM,Tianjin 301617;First Clinical Medical School,Yunnan University of CM)
出处
《中国针灸》
北大核心
2025年第4期421-427,共7页
Chinese Acupuncture & Moxibustion
基金
国家自然科学基金面上项目:62071324
国家中医针灸临床医学研究中心开放课题项目:NCRCOP2023005
天津市卫生健康委员会中医中西医结合科研课题项目:2023019
天津市研究生科研创新项目:2021YJSB188。
关键词
针刺
机器学习
人工智能
研究现状
展望
acupuncture
machine learning
artificial intelligence
current status
outlook
