Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s13755-023-00215-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7664 |
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oai:localhost:PNK-76642023-04-07T06:47:01Z Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine Jinlei, Liu Wenchao, Dan Xudong, Liu TCM MOPS CC BY 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. 2023-04-07T06:47:01Z 2023-04-07T06:47:01Z 2023 Book https://link.springer.com/article/10.1007/s13755-023-00215-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7664 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
TCM MOPS |
| spellingShingle |
TCM MOPS Jinlei, Liu Wenchao, Dan Xudong, Liu Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine |
| description |
CC BY |
| format |
Book |
| author |
Jinlei, Liu Wenchao, Dan Xudong, Liu |
| author_facet |
Jinlei, Liu Wenchao, Dan Xudong, Liu |
| author_sort |
Jinlei, Liu |
| title |
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine |
| title_short |
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine |
| title_full |
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine |
| title_fullStr |
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine |
| title_full_unstemmed |
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine |
| title_sort |
development and validation of predictive model based on deep learning method for classification of dyslipidemia in chinese medicine |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s13755-023-00215-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7664 |
| _version_ |
1762546698573316096 |
| score |
8.891053 |