한의학에서 딥러닝의 뜻밖의 역할: 딥러닝의 과학으로 한의학 이해하기

• 영문명: The Unexpected Role of Deep Learning in Traditional Korean Medicine (TKM): The Science of Deep Learning Can Help better Understand TKM
• 발행기관: 대한미병의학회
• 저자명: 배효진 김창업
• 간행물 정보: 『대한미병의학회지』제4권 제1호, 44~50쪽, 전체 7쪽
• 주제분류: 의약학 > 한의학
• 파일형태: PDF
• 발행일자: 2023.03.30

영문 초록

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.

목차

딥러닝과 수학이 한의학을 이해하는데 도움이 될까

강력하지만 매우 간단한(?) 딥러닝

딥러닝으로 표현하고 딥러닝을 들여다보기

현재의 딥러닝은 열역학 탄생 이전의 증기기관

딥러닝을 이해한다면, 그리고 딥러닝으로 한의학을 이해한다면

Conflict of Interest

References

키워드

Deep learning Artificial intelligence (AI) Traditional Korean medicine (TKM) Pattern differentiation