With the rapid development of AI-related technologies, the importance of high quality big data, which is the core of AI development, is also rapidly increasing. Traditional medicine, however, has a lot of data generated depending on the five senses. In addition, these data are not collected quantitatively, and the level of standardization is also insufficient. This presentation shows how traditional medical treatment technology is currently prepared to participate in the AI era, and what needs to be supplemented in the future.
International Scientific Acupuncture and Meridian Symposium (ISAMS) 2019 Conference Abstracts
Limitations and Solutions of Traditional Medical Big Data Construction
Future Medicine Division, Korea Institute of Oriental Medicine, South Korea
2020; 13(2): 68-68
Published April 1, 2020 https://doi.org/10.1016/j.jams.2020.03.002
Copyright © Medical Association of Pharmacopuncture Institute.
Related articles in JAMS

Article
International Scientific Acupuncture and Meridian Symposium (ISAMS) 2019 Conference Abstracts
2020; 13(2): 68-68
Published online April 1, 2020 https://doi.org/10.1016/j.jams.2020.03.002
Copyright © Medical Association of Pharmacopuncture Institute.
Limitations and Solutions of Traditional Medical Big Data Construction
Sang Hun Lee
Future Medicine Division, Korea Institute of Oriental Medicine, South Korea
Abstract
With the rapid development of AI-related technologies, the importance of high quality big data, which is the core of AI development, is also rapidly increasing. Traditional medicine, however, has a lot of data generated depending on the five senses. In addition, these data are not collected quantitatively, and the level of standardization is also insufficient. This presentation shows how traditional medical treatment technology is currently prepared to participate in the AI era, and what needs to be supplemented in the future.
Keywords: Bigdata, Korean Medicine, Standardization, Traditional medicine