Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Yiqin YU"'
Autor:
Fen Li, Na Qin, Yiqin Yu, Rui Dong, Xiaojie Li, Shenhai Gong, Zhenhua Zeng, Lin Huang, Hong Yang
Publikováno v:
Archives of Medical Science, Vol 20, Iss 3, Pp 984-996 (2024)
Introduction Recently, NLR family pyrin domain containing 3 (NLRP3) and pyroptosis have been reported to be involved in traumatic brain injury-induced acute lung injury (TBI-ALI). Studies have shown that triggering receptor expressed on myeloid cells
Externí odkaz:
https://doaj.org/article/a4bc04c9609c4a04b2dc49d061790c61
Autor:
Fei ZHU1, Yiqin YU2, Yuping HU1, Yun'an DU2, Fengqin YU1, Xiaolin CHENG1, Xinjian ZOU1 yangzi810603@163.com, Jinhe HU1
Publikováno v:
Agricultural Biotechnology (2164-4993). Apr2022, Vol. 11 Issue 2, p37-39. 3p.
Autor:
Mingxin Huang, Yiqin Yu, Xuheng Tang, Rui Dong, Xiaojie Li, Fen Li, Yongxin Jin, Shenhai Gong, Xingmin Wang, Zhenhua Zeng, Lin Huang, Hong Yang
Publikováno v:
Biochemical Pharmacology. :115632
Autor:
Jianping Tao, Eric Delwart, Musheng Li, Jianhui Zhang, Yanpeng Li, Tian Li, Li Huang, Yiqin Yu, Xinjiang Huang, Sida Yang, Mingjie Zhang
Publikováno v:
Journal of Paediatrics and Child Health. 56:1308-1310
Publikováno v:
AMIA Jt Summits Transl Sci Proc
An important task in biomedical literature precise search is to identify paper describing a certain disease. The tradi- tional topic identification approaches based on neural network can be used to recognize the disease topic of literature. To achiev
Publikováno v:
Studies in health technology and informatics. 264
Clinical paper searching is a major task for clinical researchers to collect authoritative and up-to-date evidences to support their research works and clinical practices. Currently, this task needs huge amount of labor work. Researchers usually spen
Publikováno v:
ICHI
This tutorial will focus on the issues when utilizing new scientific discoveries in healthcare, especially in the era of Artificial Intelligence, moving from bench to bedside, on to communities and finally to the population. Instructors will firstly
Publikováno v:
ICHI
Both data-driven clinical decision support system (CDSS) and patient similarity are important topics in healthcare informatics to facilitate precision medicine. However, approaches to combine both are less studied. In this study, we proposed a framew
Publikováno v:
ICHI
With the increasing availability of large amounts of Electronic Health Records (EHR), risk prediction from EHR data has attracted considerable research interests in healthcare. In this paper, we propose a multi-task Recurrent Neural Network (RNN) wit
Publikováno v:
ICHI
Medication adherence is an important topic in chronic disease management. In this paper, we propose a framework from EHR data to cohort construction with drug ontology, to medication adherence assessment, and to data analytics based on adherence asse