Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hongjia Tang"'
Autor:
Meng Wang, Xinyu Ma, Jingwen Si, Hongjia Tang, Haofen Wang, Tunliang Li, Wen Ouyang, Liying Gong, Yongzhong Tang, Xi He, Wei Huang, Xing Liu
Publikováno v:
Frontiers in Genetics, Vol 11 (2021)
Adverse drug reactions (ADRs) are a major public health concern, and early detection is crucial for drug development and patient safety. Together with the increasing availability of large-scale literature data, machine learning has the potential to p
Externí odkaz:
https://doaj.org/article/26694b1c463a405dbb2e0ca4a4258ae8
Publikováno v:
Journal of Personalized Medicine; Volume 13; Issue 3; Pages: 541
Background: It is well demonstrated that intraoperative blood pressure is associated with postoperative acute kidney injury (AKI); however, the association between severity and duration of abnormal intraoperative blood pressure (BP) with AKI in patie
Autor:
Jianbin Tong, Guiping Jiang, Hongjia Tang, Xinlin Yin, Bo Li, Xing Liu, Yongzhong Tang, Anli Wang, Wen Ouyang, Qin Liao, Lei Mo
Publikováno v:
SSRN Electronic Journal.
Background: It is well demonstrated that the intraoperative blood pressure is associated with postoperative acute kidney injury (AKI); the association between increasing magnitude and duration of intraoperative hypertension with AKI in patients under
Autor:
Jingwen Si, Liying Gong, Haofen Wang, Xi He, Xing Liu, Wei Huang, Meng Wang, Tunliang Li, Hongjia Tang, Yongzhong Tang, Wen Ouyang, Xinyu Ma
Publikováno v:
Frontiers in Genetics
Frontiers in Genetics, Vol 11 (2021)
Frontiers in Genetics, Vol 11 (2021)
Adverse drug reactions (ADRs) are a major public health concern, and early detection is crucial for drug development and patient safety. Together with the increasing availability of large-scale literature data, machine learning has the potential to p