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한의학에서 딥러닝의 뜻밖의 역할: 딥러닝의 과학으로 한의학 이해하기The Unexpected Role of Deep Learning in Traditional Korean Medicine (TKM): The Science of Deep Learning Can Help better Understand TKM

Other Titles
The Unexpected Role of Deep Learning in Traditional Korean Medicine (TKM): The Science of Deep Learning Can Help better Understand TKM
Authors
배효진김창업
Issue Date
Mar-2023
Publisher
대한미병의학회
Keywords
Deep learning; Artificial intelligence (AI); Traditional Korean medicine (TKM); Pattern differentiation
Citation
대한미병의학회지, v.4, no.1, pp 44 - 50
Pages
7
Journal Title
대한미병의학회지
Volume
4
Number
1
Start Page
44
End Page
50
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/89961
DOI
10.37928/kjsm.2023.4.1.44
ISSN
2714-0237
Abstract
Deep learning is revolutionizing in many scientific fields today. When it comes to Traditional Korean Medicine(TKM), it is commonly expected that deep learning will be able to assist TKM doctors to diagnose and prescribe treatments. We believe, however, there is another way to revolutionize TKM using deep learning. Mathematically, deep learning is a universal approximation function and can be a powerful model that explains cognitive processes in the brain. Since all of the decision-making processes in TKM are cognitive processes in the TKM doctors’ brain, they could also be modeled and explained using deep learning framework. As the science of deep learning advances, we will be able to better understand TKM through deep learning framework.
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College of Korean Medicine (Premedical course of Oriental Medicine)
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