Progress and prospect of machine learning in research of acupuncture and moxibustion / 中国针灸
Chinese Acupuncture & Moxibustion
; (12): 1383-1386, 2020.
Artigo
em Chinês
| WPRIM (Pacífico Ocidental)
| ID: wpr-877541
Biblioteca responsável:
WPRO
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.
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Assunto principal:
Pontos de Acupuntura
/
Terapia por Acupuntura
/
Acupuntura
/
Aprendizado de Máquina
/
Moxibustão
Tipo de estudo:
Estudo prognóstico
Idioma:
Chinês
Revista:
Chinese Acupuncture & Moxibustion
Ano de publicação:
2020
Tipo de documento:
Artigo