Progress and prospect of machine learning in research of acupuncture and moxibustion / 中国针灸
Chinese Acupuncture & Moxibustion
;
(12): 1383-1386, 2020.
Article
Dans Chinois
| WPRIM
| ID: wpr-877541
ABSTRACT
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.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Points d'acupuncture
/
Thérapie par acupuncture
/
Acupuncture
/
Apprentissage machine
/
Moxibustion
Type d'étude:
Étude pronostique
langue:
Chinois
Texte intégral:
Chinese Acupuncture & Moxibustion
Année:
2020
Type:
Article
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