Zobrazeno 1 - 7
of 7
pro vyhledávání: '"ShiTeng Lin"'
Autor:
Liang Hong, Tianling Feng, Runze Qiu, Shiteng Lin, Yinying Xue, Kaizong Huang, Chen Chen, Jiawen Wang, Rongrong Xie, Sanbing Song, Cui Zhang, Jianjun Zou
Publikováno v:
Annals of Medicine, Vol 55, Iss 2 (2023)
AbstractObjective Low cardiac output syndrome (LCOS) is a severe complication after valve surgery, with no uniform standard for early identification. We developed interpretative machine learning (ML) models for predicting LCOS risk preoperatively and
Externí odkaz:
https://doaj.org/article/d343d8dcba784bd4ba499a894f163834
Autor:
Xiding Pan, Shiteng Lin, Liang Xiang, Feng Zhou, Mengyi Xu, Qiong Jie, Zhihong Zhao, Chen Chen, Junshan Zhou, Jianjun Zou
Publikováno v:
Brain and Behavior, Vol 13, Iss 12, Pp n/a-n/a (2023)
Abstract Background The evidence of mechanical thrombectomy (MT) in basilar artery occlusion (BAO) was limited. This study aimed to develop dynamic and visual nomogram models to predict the unfavorable outcome of MT in BAO online. Methods BAO patient
Externí odkaz:
https://doaj.org/article/3b2af12da76c4bca8e3945ff656465f6
Publikováno v:
BMC Neurology, Vol 22, Iss 1, Pp 1-6 (2022)
Abstract Background Even undergoing mechanical thrombectomy (MT), patients with acute vertebrobasilar artery occlusion (AVBAO) still have a high rate of mortality. Tirofiban is a novel antiplatelet agent which is now widely empirically used in acute
Externí odkaz:
https://doaj.org/article/1f6a631da66447799a6d3b0e29d2c6c8
Autor:
ShiTeng Lin, XinPing Lin, Juan Zhang, Meng Wan, Chen Chen, Qiong Jie, YueZhang Wu, RunZe Qiu, XiaoLi Cui, ChunLian Jiang, JianJun Zou, ZhiHong Zhao
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
Background and purposeFutile recanalization occurs in a significant proportion of patients with basilar artery occlusion (BAO) after endovascular thrombectomy (EVT). Therefore, our goal was to develop a visualized nomogram model to early identify pat
Externí odkaz:
https://doaj.org/article/38d37af9454a47ed80135f2390c12dc7
Autor:
Xinping Lin, Shiteng Lin, XiaoLi Cui, Daizun Zou, FuPing Jiang, JunShan Zhou, NiHong Chen, Zhihong Zhao, Juan Zhang, Jianjun Zou
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Background and Purpose: Treatment for mild stroke remains an open question. We aim to develop a decision support tool based on machine learning (ML) algorithms, called DAMS (Disability After Mild Stroke), to identify mild stroke patients who would be
Externí odkaz:
https://doaj.org/article/a77674c89fa042b6b1fb5d0eee73ba6f
Publikováno v:
BMC Neurology, Vol 22, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/9c68c060f356461ab4b5052a0bfece63
Autor:
Shiteng Lin, Yang Zou, Jue Hu, Lan Xiang, Leheng Guo, Xinping Lin, Daizun Zou, Xiaoping Gao, Hui Liang, Xiaoming Dai, ZhiHong Zhao, JianJun Zou
Intracranial aneurysms (IAs) remains a major public health concern and endovascular treatment (EVT) has become a major tool for managing IAs. However, the recurrence rate of IAs after EVT is relatively high, which may lead to the risk for aneurysm re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82b9cde06ecf7d50db08e4f1798f87db
https://doi.org/10.21203/rs.3.rs-551812/v1
https://doi.org/10.21203/rs.3.rs-551812/v1
