Progress and prospect of machine learning in research of acupuncture and moxibustion / 中国针灸

The application progress of machine learning in research of acupuncture and moxibustion was reviewed from three aspects: mining of acupuncture and moxibustion prescription and indications, acupuncture efficacy prediction and its influencing factors, acupoint specificity and acupuncture manipulation research, and the existing problems in current research and future research trends were discussed. It is believed that the appropriate machine learning algorithm should be selected to build the model according to the research purpose and data characteristics in the future research; attention should be paid to feature design, feature selection and feature cleaning; sample data collection should be a priority, and data sharing platform and standardized data collection should be developed to improve the data quality.

Development history of acupuncture and moxibustion diagnosis and treatment institutions since the founding of the People's Republic of China / 中国针灸

The development process of acupuncture and moxibustion diagnosis and treatment institutions since the founding of the People's Republic of China is summarized and analyzed. The main forms of acupuncture and moxibustion diagnosis and treatment institutions have shifted from the individual, joint clinic and outpatient department of acupuncture and moxibustion in the early years of the founding of the People's Republic of China to the present acupuncture and moxibustion departments in Chinese medicine hospitals and general hospitals.The construction and development of public and private acupuncture and moxibustion hospital and key specialty of acupuncture and moxibustion fully expand the clinical application of acupuncture and moxibustion therapy. In the future, the development of acupuncture and moxibustion diagnosis and treatment institutions should highlight its own features to satisfy the requirements of different levels of society.