Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kai-zhi Lu"'
Autor:
Guang‐You Duan, Zhen‐Xin Duan, Hong Chen, Feng Chen, Fang Chen, Zhi‐Yong Du, Li‐Yong Chen, Kai‐Zhi Lu, Zhi‐Yi Zuo, Hong Li
Publikováno v:
Kaohsiung Journal of Medical Sciences, Vol 39, Iss 2, Pp 166-174 (2023)
Abstract Cognitive dysfunction is a common postoperative neurological complication in patients undergoing valve replacement surgery. This study aimed to compare the effects of sevoflurane versus propofol‐based total intravenous anesthesia on the in
Externí odkaz:
https://doaj.org/article/256fe5a1f4ce40b6bb50dedca1779b1f
Autor:
Yu-wen Chen, Yu-jie Li, Peng Deng, Zhi-yong Yang, Kun-hua Zhong, Li-ge Zhang, Yang Chen, Hong-yu Zhi, Xiao-yan Hu, Jian-teng Gu, Jiao-lin Ning, Kai-zhi Lu, Ju Zhang, Zheng-yuan Xia, Xiao-lin Qin, Bin Yi
Publikováno v:
BMC Anesthesiology, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Dynamic prediction of patient mortality risk in the ICU with time series data is limited due to high dimensionality, uncertainty in sampling intervals, and other issues. A new deep learning method, temporal convolution network (TC
Externí odkaz:
https://doaj.org/article/a13f9db1907947c8984be86eb9fcc2ca
Autor:
Jiang-hua Shen, Min Ye, Qian Chen, Yan Chen, Hai-lin Zhao, Ameena Khan, Bin Yi, Jiao-lin Ning, Kai-zhi Lu, Jian-teng Gu
Publikováno v:
BMC Anesthesiology, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background The effects of circadian rhythms on drug metabolism and efficacy are being increasingly recognized. However, the extent to which they affect general anesthesia remains unclear. This study aims to investigate the effects of circadi
Externí odkaz:
https://doaj.org/article/93f7832d955943d0be8a7edaad504428
Publikováno v:
BMC Anesthesiology, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background Ultrasound guidance might decrease the incidence of local anesthetics systemic toxicity (LAST) for many peripheral nerve blocks compared with nerve stimulator guidance. However, it remains uncertain whether ultrasound guidance is
Externí odkaz:
https://doaj.org/article/3dca353ee4a146b0a777bbbc5c73bae9
Autor:
Lin Chen, Yong-shuai Li, Jian Cui, Jiao-nin Ning, Guan-song Wang, Gui-sheng Qian, Kai-zhi Lu, Bin Yi
Publikováno v:
Cellular Physiology and Biochemistry, Vol 34, Iss 5, Pp 1768-1779 (2014)
Background: Hepatopulmonary syndrome (HPS) is a serious complication of advanced liver disease that is characterised by intrapulmonary vascular dilatation (IPVD) and arterial hypoxemia. Pulmonary vascular remodelling (PVR) is an important pathologica
Externí odkaz:
https://doaj.org/article/d2f30ed10e8444e189aabe08c234e59e
Autor:
Guang‐You Duan, Zhen‐Xin Duan, Hong Chen, Feng Chen, Fang Chen, Zhi‐Yong Du, Li‐Yong Chen, Kai‐Zhi Lu, Zhi‐Yi Zuo, Hong Li
Publikováno v:
The Kaohsiung Journal of Medical Sciences. 39:166-174
Cognitive dysfunction is a common postoperative neurological complication in patients undergoing valve replacement surgery. This study aimed to compare the effects of sevoflurane versus propofol-based total intravenous anesthesia on the incidence of
Autor:
Wen-Quan, He, Yu-Jie, Li, Yong-Shuai, Li, Xu-Hao, Zhang, Jian, Cao, Kai-Zhi, Lu, Chi Wai, Cheung, Jian-Teng, Gu, Zheng-Yuan, Xia, Bin, Yi
Publikováno v:
The Clinical Journal of Pain. 38:730-738
We aimed to compare the analgesic effect and incidence of lower limb weakness of transmuscular quadratus lumborum (TQL) block via subfascial approach with that via extrafascial after laparoscopic cholecystectomy (LC).Eighty patients undergoing LC wer
Autor:
Ai-lin Song, Yu-jie Li, Hao Liang, Yi-zhu Sun, Xin Shu, Jia-hao Huang, Zhi-yong Yang, Wen-quan He, Lei Zhao, Tao Zhu, Kun-hua Zhong, Yu-wen Chen, Kai-zhi Lu, Bin Yi
Publikováno v:
Anesthesia & Analgesia; Dec2023, Vol. 137 Issue 6, p1257-1269, 13p
Autor:
Yu-wen Chen, Yu-jie Li, Peng Deng, Zhi-yong Yang, Kun-hua Zhong, Li-ge Zhang, Yang Chen, Hong-yu Zhi, Xiao-yan Hu, Jian-teng Gu, Jiao-lin Ning, Kai-zhi Lu, Ju Zhang, Zheng-yuan Xia, Xiao-lin Qin, Bin Yi
Publikováno v:
BMC anesthesiology. 22(1)
BackgroundDynamic prediction of patient mortality risk in the ICU with time series data is limited due to high dimensionality, uncertainty in sampling intervals, and other issues. A new deep learning method, temporal convolution network (TCN), makes
Autor:
Yu-wen Chen, Yu-jie Li, Zhi-yong Yang, Kun-hua Zhong, Li-ge Zhang, Yang Chen, Hong-yu Zhi, Peng Deng, Dan-dan Wang, Jian-teng Gu, Jiao-lin Ning, Kai-zhi Lu, Ju Zhang, Zheng-yuan Xia, Bin Yi
Background: Dynamic prediction of patients’ mortality risk in ICU with time series data is limited due to the high dimensionality, uncertainty with sampling intervals, and other issues. New deep learning method, temporal convolution network (TCN),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f95678760267d8d70e1672203b823c4
https://doi.org/10.21203/rs.3.rs-44310/v2
https://doi.org/10.21203/rs.3.rs-44310/v2