Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Danfeng Zhong"'
Autor:
Xingchen Wang, Tianqi Zhu, Minghong Xia, Yu Liu, Yao Wang, Xizhi Wang, Lenan Zhuang, Danfeng Zhong, Jun Zhu, Hong He, Shaoxiang Weng, Junhui Zhu, Dongwu Lai
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundEarly prediction and classification of prognosis is essential for patients in the coronary care unit (CCU). We applied a machine learning (ML) model using the eXtreme Gradient Boosting (XGBoost) algorithm to prognosticate CCU patients and c
Externí odkaz:
https://doaj.org/article/4955669b3bfb4f8a8684fc9cb41e7c6d
Autor:
Xizhi Wang, Xingchen Wang, Jun Zhu, Yu Liu, Lenan Zhuang, Zhe Zhang, Danfeng Zhong, Wenbin Zhang, Dongwu Lai
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundHeart failure (HF), primarily caused by conditions such as coronary heart disease or cardiomyopathy, is a global health problem with poor prognosis and heavy burden on healthcare systems. As biomarkers of myocardial injury and fibrosis, sup
Externí odkaz:
https://doaj.org/article/780e7765debf46b9a710d0ef7487d683
Autor:
Xingchen Wang, Xizhi Wang, Yingchao Gong, Xiaoou Chen, Danfeng Zhong, Jun Zhu, Lenan Zhuang, Jing Gao, Guosheng Fu, Xue Lu, Dongwu Lai
Publikováno v:
Nutrients, Vol 14, Iss 16, p 3258 (2022)
Although observational studies have shown that abnormal systemic iron status is associated with an increased risk of heart failure (HF), it remains unclear whether this relationship represents true causality. We aimed to explore the causal relationsh
Externí odkaz:
https://doaj.org/article/c15e7eddf1f343bd82a5dfb6267062d0
Publikováno v:
Annals of palliative medicine. 11(1)
Meta-analysis was performed on risk factors for postoperative delirium in intensive care unit (ICU) patients to provide theoretical guidance for the prevention of postoperative delirium in ICU patients.We conducted a search of Chinese databases using
Autor:
Xingchen Wang, Tianqi Zhu, Minghong Xia, Yu Liu, Yao Wang, Xizhi Wang, Lenan Zhuang, Danfeng Zhong, Jun Zhu, Hong He, Shaoxiang Weng, Junhui Zhu, Dongwu Lai
Publikováno v:
Frontiers in cardiovascular medicine. 9
BackgroundEarly prediction and classification of prognosis is essential for patients in the coronary care unit (CCU). We applied a machine learning (ML) model using the eXtreme Gradient Boosting (XGBoost) algorithm to prognosticate CCU patients and c
Autor:
Xingchen Wang, Danfeng Zhong, Dongwu Lai, Shaoxiang Weng, Yao Wang, Xizhi Wang, Tianqi Zhu, Lenan Zhuang, Junhui Zhu, Minghong Xia, Yu Liu
Publikováno v:
SSRN Electronic Journal.
Background: Early prediction and classification of prognosis is essential for patients in the coronary care unit (CCU). We applied a machine learning (ML) model using the XGBoost algorithm to prognosticate CCU patients, and compared XGBoost with trad
Publikováno v:
Journal of cellular biochemistry.
Objectives C-X-C chemokine receptor types 1/2 (CXCR1/2) is known to be activated in liver damage in acute-on-chronic liver failure; however, the role in lipopolysaccharide (LPS)-induced sepsis is unknown. The current study was designed to determine w