Thông tin tài liệu
Nhan đề : |
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine |
Tác giả : |
Jinlei, Liu Wenchao, Dan Xudong, Liu |
Năm xuất bản : |
2023 |
Nhà xuất bản : |
Springer |
Tóm tắt : |
Dyslipidemia is a prominent risk factor for cardiovascular diseases and one of the primary independent modifiable factors of diabetes and stroke. Statins can significantly improve the prognosis of dyslipidemia, but its side effects cannot be ignored. Traditional Chinese Medicine (TCM) has been used in clinical practice for more than 2000 years in China and has certain traits in treating dyslipidemia with little side effect. Previous research has shown that Mutual Obstruction of Phlegm and Stasis (MOPS) is the most common dyslipidemia type classified in TCM. However, how to compose diagnostic factors in TCM into diagnostic rules relies heavily on the doctor's experience, falling short in standardization and objectiveness. This is a limit for TCM to play its advantages of treating dyslipidemia with MOPS. |
Mô tả: |
CC BY |
URI: |
https://link.springer.com/article/10.1007/s13755-023-00215-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7664 |
Bộ sưu tập |
OER - Công nghệ thông tin |
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