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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jinlei, Liu | - |
| dc.contributor.author | Wenchao, Dan | - |
| dc.contributor.author | Xudong, Liu | - |
| dc.date.accessioned | 2023-04-07T06:47:01Z | - |
| dc.date.available | 2023-04-07T06:47:01Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s13755-023-00215-0 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7664 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | 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. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | TCM | vi |
| dc.subject | MOPS | vi |
| dc.title | Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine | vi |
| dc.type | Book | vi |
| Appears in Collections | ||
| OER - Công nghệ thông tin | ||
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