The Research Status and Thinking of Objectification of Diagnosis by Integrating Prior Knowledge and Information Technology
- VernacularTitle:融合先验知识和信息化技术的望诊客观化研究现状与思路探析
- Author:
Chenge SUN
1
,
2
;
Yukun LI
;
Zhiwei ZHAO
;
Linshuang WANG
;
Liangyu CUI
;
Tong YIN
;
Liying WANG
;
Xuejie HAN
;
Dasheng LIU
Author Information
- Keywords: Observation; Objectification of visits; Prior knowledge; Deep learning; Parameterization
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(6):1654-1659
- CountryChina
- Language:Chinese
- Abstract: In order to solve the problem of strong subjectivity and difficulty in quantification,clinical objectification mainly adopts the techniques of image processing,computer vision and machine learning.The acquisition and processing of prior knowledge is a key link in the objectification of inspection,as well as an important elaboration of the quantification of subjective judgment and macro performance in objectification research.However,there is still a lack of in-depth summary and parametric processing of prior knowledge.Based on the analysis of the current research status of objectification of inspection,this paper uses data mining technology to summarize the experience of TCM inspection.Moreover,the observation information can be transformed into quantifiable digital features through natural language processing and representation learning.Meanwhile,the application of deep learning can realize automatic diagnosis and analysis of observation images to improve accuracy and efficiency,and promote the process of TCM modernization.
