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of 2 364
pro vyhledávání: '"Cui, Tao"'
In this paper, we study a priori error estimates for the finite element approximation of the nonlinear Schr\"{o}dinger-Poisson model. The electron density is defined by an infinite series over all eigenvalues of the Hamiltonian operator. To establish
Externí odkaz:
http://arxiv.org/abs/2307.09703
User selection has become crucial for decreasing the communication costs of federated learning (FL) over wireless networks. However, centralized user selection causes additional system complexity. This study proposes a network intrinsic approach of d
Externí odkaz:
http://arxiv.org/abs/2307.03758
Autor:
Ahmed Abdelhameed, PhD, Harpreet Bhangu, MD, Jingna Feng, MS, Fang Li, PhD, Xinyue Hu, MS, Parag Patel, MD, Liu Yang, MD, Cui Tao
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 2, Iss 2, Pp 221-230 (2024)
Objective: To validate deep learning models’ ability to predict post-transplantation major adverse cardiovascular events (MACE) in patients undergoing liver transplantation (LT). Patients and Methods: We used data from Optum’s de-identified Clinf
Externí odkaz:
https://doaj.org/article/1759561794d847b885ecea74246be743
Autor:
Chen-shan LÜ, Yi-xuan CAO, Xiao-xi MU, Hai-yan CUI, Tao WANG, Zhi-wen WEI, Ke-ming YUN, Meng HU
Publikováno v:
Fayixue Zazhi, Vol 40, Iss 1, Pp 30-36 (2024)
Objective To establish a rapid screening method for 34 emerging contaminants in surface water by ultra-high performance liquid chromatography-quadrupole-time of flight mass spectrometry (UHPLC-Q-TOF-MS). Methods The pretreatment conditions of sol
Externí odkaz:
https://doaj.org/article/d79903de39714760bf756c3ad0a332a7
Autor:
Xinyuan Zhang, Yixue Feng, Fang Li, Jin Ding, Danyal Tahseen, Ezekiel Hinojosa, Yong Chen, Cui Tao
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss S4, Pp 1-12 (2024)
Abstract Background In this era of big data, data harmonization is an important step to ensure reproducible, scalable, and collaborative research. Thus, terminology mapping is a necessary step to harmonize heterogeneous data. Take the Medical Diction
Externí odkaz:
https://doaj.org/article/68d5306c90bf4b5093e8e5c64eebea74
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e51007 (2024)
BackgroundThe COVID-19 pandemic, caused by SARS-CoV-2, has had a profound impact worldwide, leading to widespread morbidity and mortality. Vaccination against COVID-19 is a critical tool in controlling the spread of the virus and reducing the severit
Externí odkaz:
https://doaj.org/article/cc22d2eb5fca4c5eb2d231e1c4dcae8a
Autor:
Xinyue Hu, Zenan Sun, Yi Nian, Yichen Wang, Yifang Dang, Fang Li, Jingna Feng, Evan Yu, Cui Tao
Publikováno v:
JMIR Aging, Vol 7, p e54748 (2024)
BackgroundAlzheimer disease and related dementias (ADRD) rank as the sixth leading cause of death in the United States, underlining the importance of accurate ADRD risk prediction. While recent advancements in ADRD risk prediction have primarily reli
Externí odkaz:
https://doaj.org/article/64d85236971f4c889d742707a9e7c170
Publikováno v:
JMIR Medical Informatics, Vol 12, p e49613 (2024)
BackgroundDermoscopy is a growing field that uses microscopy to allow dermatologists and primary care physicians to identify skin lesions. For a given skin lesion, a wide variety of differential diagnoses exist, which may be challenging for inexperie
Externí odkaz:
https://doaj.org/article/1559fb0c3bce423682d8538c9ce30fb4
Autor:
Isabel Bilotta, Scott Tonidandel, Winston R Liaw, Eden King, Diana N Carvajal, Ayana Taylor, Julie Thamby, Yang Xiang, Cui Tao, Michael Hansen
Publikováno v:
JMIR Medical Informatics, Vol 12, Pp e50428-e50428 (2024)
Abstract BackgroundIndividuals from minoritized racial and ethnic backgrounds experience pernicious and pervasive health disparities that have emerged, in part, from clinician bias. ObjectiveWe used a natural language processing approach to examine
Externí odkaz:
https://doaj.org/article/3bad6cfeadcd48ff97bd499a9e56b04f
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss S4, Pp 1-11 (2024)
Abstract Background Vaccine Adverse Events ReportingSystem (VAERS) is a promising resource of tracking adverse events following immunization. Medical Dictionary for Regulatory Activities (MedDRA) terminology used for coding adverse events in VAERS re
Externí odkaz:
https://doaj.org/article/661f153dfa244464850f32ed8bdedc87