Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Luyi Shao"'
Risk factors for acute postoperative hypertension in non-cardiac major surgery: a case control study
Autor:
Yaqing Zhou, Dongxue Luo, Luyi Shao, Zichuan Yue, Min Shi, Jie Zhang, Kangli Hui, Jingwei Xiong, Manlin Duan
Publikováno v:
BMC Anesthesiology, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Purpose Acute postoperative hypertension (APH) is a common complication during the anesthesia recovery period that can lead to adverse outcomes, including cardiovascular and cerebrovascular accidents. Identification of risk factors for APH w
Externí odkaz:
https://doaj.org/article/ae39c88d89864f118214dac7ee36c1de
Autor:
Dongxue Luo, Yaqing Zhou, Zichuan Yue, Min Shi, Luyi Shao, Kangli Hui, Zhongya Gu, Manlin Duan, Jing Ni
Publikováno v:
Chinese Medical Journal, Vol 136, Iss 18, Pp 2263-2265 (2023)
Externí odkaz:
https://doaj.org/article/64a38e08e98d42b0a1df796c23e618c6
Autor:
Luyi Shao, Yaqing Zhou, Zichuan Yue, Zhongya Gu, Jie Zhang, Kangli Hui, Jingwei Xiong, Miaomiao Xu, Manlin Duan
Publikováno v:
BMC Anesthesiology, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Individuals affected by autonomic dysfunction are at a higher risk of developing hypotension following anesthesia induction. Dynamic pupillometry has previously been employed as a means of assessing autonomic function. This prospe
Externí odkaz:
https://doaj.org/article/119489832de74095b011b0def2764562
Publikováno v:
IEEE Access, Vol 8, Pp 173826-173837 (2020)
Decision tree method has been applied to POLSAR image classification, due to its capability to interpret the scattering characteristics as well as good classification accuracy. Compared with popular machine learning classifiers, decision tree approac
Externí odkaz:
https://doaj.org/article/7077f84897d54790a3983521e82ed56b
Publikováno v:
IEEE Access, Vol 8, Pp 173826-173837 (2020)
Decision tree method has been applied to POLSAR image classification, due to its capability to interpret the scattering characteristics as well as good classification accuracy. Compared with popular machine learning classifiers, decision tree approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb797edccdcb728d3dc8e9486193342d
https://doi.org/10.1109/access.2020.3023134
https://doi.org/10.1109/access.2020.3023134
Publikováno v:
IGARSS
Polarimetric synthetic aperture radar (PolSAR) features have great significance in application of vegetation classification, which can explain the scattering mechanism of the vegetation; in order to make full use of PolSAR features' scattering mechan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13fe8fc3aef88541b3722b41dd4e1e72
https://doi.org/10.1109/igarss.2017.8128199
https://doi.org/10.1109/igarss.2017.8128199
Publikováno v:
IGARSS
PolSAR features have great significance in application of vegetation classification, which can explain the scattering mechanism of the vegetation; the decision tree classifier not only can obtain good classification accuracy, but also can adjust the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31d33c69d7662bc9bb8c8bd93ddc2673
https://doi.org/10.1109/igarss.2016.7729034
https://doi.org/10.1109/igarss.2016.7729034