| 引用本文:孙继飞1，何家恺2，王智1，郭春蕾1，孙凯3，刘振宇3，余学4，方继良1.机器学习技术在针灸治疗脑病领域的研究现状及展望[J].世界中医药,2023,(09):. |
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| 机器学习技术在针灸治疗脑病领域的研究现状及展望 |
| Research Progress and Prospect of Machine Learning Technology in Acupuncture and Moxibustion Treatment of Encephalopathy |
| 投稿时间：2021-09-07 |
| DOI：10.3969/j.issn.1673-7202.2023.09.020 |
| 中文关键词: 机器学习 针灸 脑病 数据挖掘 选穴处方 神经影像 疗效预测 |
| English Keywords:Machine learning Acupuncture and moxibustion Encephalopathy Data mining Acupoint selection and prescription Neuroimaging Efficacy prediction |
| 基金项目:国家自然科学基金面上项目（81774433）；国家重点研发计划项目（2018YFC1705802） |
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| 中文摘要: |
| 随着科学技术的发展，以机器学习为代表的人工智能技术逐渐应用于医疗领域。通过论述机器学习在脑病领域的应用概况，阐明机器学习在脑病领域具有广阔的应用前景。将机器学习引入针灸治疗脑病领域，不仅能应用于临床选穴处方的数据挖掘，也能用于针灸治疗脑病的疗效预测，从而明确机器学习在针灸治疗脑病领域的有效性和可行性，有利于为针灸脑科学发展指明新的方向。并指出当前存在问题以及对未来发展趋势进行展望，以期为针灸治疗脑病的临床及科研工作开展提供一定借鉴意义。 |
| English Summary: |
| With the development of science and technology，artificial intelligence technology represented by machine learning is gradually applied in the medical field.By discussing the application of machine learning in the treatment of encephalopathy，this paper illustrated that machine learning had a broad application prospect in the treatment of encephalopathy.The introduction of machine learning into the field of acupuncture and moxibustion against encephalopathy can facilitate data mining for clinical acupoint selection and prescription and predict the efficacy of acupuncture and moxibustion against encephalopathy，thereby clarifying the effectiveness and feasibility of machine learning in the field of acupuncture and moxibustion treatment of encephalopathy and providing a new direction for the development of acupuncture and moxibustion in the brain.This paper also pointed out the current problems and prospected the future trends to provide some references for the development of clinical and scientific research on acupuncture and moxibustion for the treatment of encephalopathy. |
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