Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jiatang Xu"'
Autor:
Geng Wang, Jiatang Xu, Xixia Lin, Weijie Lai, Lin Lv, Senyi Peng, Kechen Li, Mingli Luo, Jiale Chen, Dongxi Zhu, Xiong Chen, Chen Yao, Shaoxu Wu, Kai Huang
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Objectives We aimed to use machine learning (ML) algorithms to risk stratify the prognosis of critical pulmonary embolism (PE). Material and methods In total, 1229 patients were obtained from MIMIC-IV database. Main outcomes were set as all-
Externí odkaz:
https://doaj.org/article/fcb07bdca0434adc8f4096c85eba68ae
Autor:
Jiatang Xu, Xiaolin Xu, Jing Tian, Minyi Huang, Zuqi Xia, Xianghui Luo, Junmeng Zheng, Kai Huang
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Objectives Development of endovenous treatment and sclerotherapy technology makes it feasible for clinicians to treat varicose veins (VV) through day surgery (DS). Superficial venous thrombosis (SVT) of lower extremities is a common complica
Externí odkaz:
https://doaj.org/article/57a60b89cf094947be29a3f68f2a7e3a
Publikováno v:
Vascular Investigation and Therapy, Vol 6, Iss 3, Pp 79-85 (2023)
CONTEXT: Closure rate of endovenous thermal ablation is limited by the trunk diameter of great saphenous vein. AIMS: This study aimed to investigate the safety and efficacy of transluminal injection of foam sclerotherapy (TLFS) after thermal ablation
Externí odkaz:
https://doaj.org/article/dd78132ef5fd4398afe0560edfea98fc
Autor:
Tao Yu, Runnan Shen, Guochang You, Lin Lv, Shimao Kang, Xiaoyan Wang, Jiatang Xu, Dongxi Zhu, Zuqi Xia, Junmeng Zheng, Kai Huang
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundPrevention is highly involved in reducing the incidence of post-thrombotic syndrome (PTS). We aimed to develop accurate models with machine learning (ML) algorithms to predict whether PTS would occur within 24 months.Materials and methodsTh
Externí odkaz:
https://doaj.org/article/bda4e22a87fc4dfd9f8240221811204d
Publikováno v:
Shock; Jan2024, Vol. 61 Issue 1, p68-75, 8p
Autor:
Tao Yu, Runnan Shen, Guochang You, Lin Lv, Shimao Kang, Xiaoyan Wang, Jiatang Xu, Dongxi Zhu, Zuqi Xia, Junmeng Zheng, Kai Huang
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e18730ff45f0bfb9ee4479647b86ee6
https://doi.org/10.2139/ssrn.4075845
https://doi.org/10.2139/ssrn.4075845
Publikováno v:
Bioscience Reports
The tripartite motif (TRIM) family is a family of proteins with highly conserved domains. Previous researches have suggested that the members of TRIM family proteins played a crucial role in cancer development and progression. Our study explored the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe714af5a809e5c476b440e734e6df6c
https://doi.org/10.1042/bsr20200065
https://doi.org/10.1042/bsr20200065
Publikováno v:
Bioscience Reports
Lung adenocarcinoma (LUAD) remains the leading cause of cancer-related deaths worldwide. Increasing evidence suggests that circular RNAs (circRNAs) and long non-coding RNAs (lncRNAs) can regulate target gene expression and participate in tumor genesi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19fc6097c9a12430f0ae81386a67a8b4
http://europepmc.org/articles/PMC7108999
http://europepmc.org/articles/PMC7108999
Publikováno v:
Bioscience Reports; Apr2020, Vol. 40 Issue 4, p1-15, 15p
Publikováno v:
Bioscience Reports; Apr2020, Vol. 40 Issue 4, p1-10, 10p