Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine

Backgrounds 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) ha...

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Veröffentlicht in:	Health information science and systems Jg. 11; H. 1; S. 21
Hauptverfasser:	Liu, Jinlei, Dan, Wenchao, Liu, Xudong, Zhong, Xiaoxue, Chen, Cheng, He, Qingyong, Wang, Jie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 06.04.2023 BioMed Central Ltd Springer Nature B.V
Schlagworte:	Accuracy Analysis Artificial intelligence Bioinformatics Cardiovascular agents Cardiovascular diseases Classification Computational Biology/Bioinformatics Computer Science Deep learning Diagnosis Diagnostic systems Health Informatics Information Systems and Communication Service Machine learning Medical research Medicine, Experimental Medicine, Oriental Metabolic disorders Methods Performance evaluation Performance prediction Prediction models Recall Risk factors Side effects Standardization Statins Teaching methods Traditional Chinese medicine China Taiwan Deep learning Traditional Chinese medicine Diagnostic factors Dyslipidemia Prediction model
ISSN:	2047-2501, 2047-2501
Online-Zugang:	Volltext
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