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Application and practice of intelligent technology in the inheritance of famous doctors / 国际中医中药杂志
International Journal of Traditional Chinese Medicine ; (6): 1049-1053, 2020.
Artigo em Chinês | WPRIM | ID: wpr-863723
ABSTRACT
With the rapid development of science and technology, more creative methods have been applied to the inheritance mode of traditional Chinese medicine, such as studying the inheritance process of famous doctorsin an objective and rigorous way. The bottleneck of information transmission from famous doctors is to collect data, process data, apply algorithms, analyze and summarize data. The integration of artificial intelligence and big data deep learning algorithm knowledge mapping technology and other technical methods has brought technological innovation for the inheritance of famous doctors. With such development, the team of the research center of TCM grand health intelligence, Institute of Information on Chinese Medicine, China Academy of Chinese Medical Science, has carried out a series of professional application system research in the field of traditional Chinese medicine, centering on the planning and inheritance of famous doctors. We developed the ancient and modern medical case cloud platform, medical big data analysis platform, cloud medical APP, and famous doctor inheritance workstation. In such way, the problems were solved of low efficiency of medical case collection and the lack of objective data support and information barriers in the experience summary of famous doctors. The artificial intelligence techniques are to promote the inheritance of famous doctors' experience and improve the teaching ability and efficiency.
Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: International Journal of Traditional Chinese Medicine Ano de publicação: 2020 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: International Journal of Traditional Chinese Medicine Ano de publicação: 2020 Tipo de documento: Artigo