Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Liming GUO"'
Publikováno v:
Brain Sciences, Vol 14, Iss 11, p 1090 (2024)
Background: The localization of seizure onset zones (SOZs) is a critical step before the surgical treatment of epilepsy. Methods and Results: In this paper, we propose an SOZ detection method based on convolutional neural networks and EEG signals. Th
Externí odkaz:
https://doaj.org/article/4f6886074cb7440190130bd0aa3e71b2
Publikováno v:
Frontiers in Energy Research, Vol 11 (2024)
Pavements are critical components of highway assets, but accurately estimating their value can be challenging due to the lack of connection between valuation and long-term service performance degradation. To address this issue, the replacement cost a
Externí odkaz:
https://doaj.org/article/d8f079f117664caab47788425de58fb8
Autor:
Mohammad Sazzad Hasan, Elie Ganni, Aihua Liu, Liming Guo, Andrew S. Mackie, Jay S. Kaufman, Ariane J. Marelli
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 1 (2024)
Background Individuals with genetic syndromes can manifest both congenital heart disease (CHD) and cancer attributable to possible common underlying pathways. To date, reliable risk estimates of hematopoietic cancer (HC) among children with CHD based
Externí odkaz:
https://doaj.org/article/437a1ef7ccda4b4ab8a448529bb11390
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 53, Iss 6, Pp 979-988 (2022)
Electric double layer capacitors (EDLCs) are a type of high-power and long-cycle energy storage device with wide operating temperature range. EDLCs have promising applications in transportation, microgrids, and the internet of things. Activated carbo
Externí odkaz:
https://doaj.org/article/134fc68003bc489a9a90f4644ce9fb5e
Autor:
Carlos‐Eduardo Guerrero‐Chalela, Judith Therrien, Yoni Grossman, Liming Guo, Aihua Liu, Ariane Marelli
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 19 (2023)
Background Data are rare about the incidence of severe Fontan‐associated liver disease (FALD) and its association with mortality. We sought to: (1) estimate the probability of developing severe FALD in patients who undergo the Fontan procedure (Fon
Externí odkaz:
https://doaj.org/article/4e135cc0472841f99998866e4503d767
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 7, p 1445 (2023)
In the shipping network optimization, the feeder liner companies not only need to decrease the operation cost by comprehensively optimizing the route, schedule, and fleet but also try to increase the operation income by attracting more shippers, with
Externí odkaz:
https://doaj.org/article/6d3a2f9af1df48b58b10649caebedaeb
Autor:
Yue Li, Pratheeksha Nair, Xing Han Lu, Zhi Wen, Yuening Wang, Amir Ardalan Kalantari Dehaghi, Yan Miao, Weiqi Liu, Tamas Ordog, Joanna M. Biernacka, Euijung Ryu, Janet E. Olson, Mark A. Frye, Aihua Liu, Liming Guo, Ariane Marelli, Yuri Ahuja, Jose Davila-Velderrain, Manolis Kellis
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
Electronic Health Records (EHR) are subject to noise, biases and missing data. Here, the authors present MixEHR, a multi-view Bayesian framework related to collaborative filtering and latent topic models for EHR data integration and modeling.
Externí odkaz:
https://doaj.org/article/f93fdf7cc75646b5afb46727b4bdaa9e
Autor:
Maria Fadous, Maria-Victoria Ordoñez, Carlos-Eduardo Guerrero-Chalela, Aihua Liu, Liming Guo, Luc Jutras, Ariane J. Marelli, Judith Therrien
Publikováno v:
International Journal of Cardiology Congenital Heart Disease, Vol 5, Iss , Pp 100222- (2021)
Background: Many cardiac parameters have been associated with poor outcomes in patients with repaired tetralogy of Fallot (TOF) and significant residual pulmonary regurgitation (PR). However, the utility of cardiac index (CI) in these patients has ne
Externí odkaz:
https://doaj.org/article/f1d83ec3388b4b91ad2023e2233a5fc5
Publikováno v:
International Journal of Cardiology Congenital Heart Disease, Vol 5, Iss , Pp 100247- (2021)
Externí odkaz:
https://doaj.org/article/a0fd2dd50b174a4db4995acbaee77b40
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0245177 (2021)
MotivationRecurrent neural networks (RNN) are powerful frameworks to model medical time series records. Recent studies showed improved accuracy of predicting future medical events (e.g., readmission, mortality) by leveraging large amount of high-dime
Externí odkaz:
https://doaj.org/article/3843311a833e4a29abd2350a10ba2bff