Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Chaoqi Yang"'
Publikováno v:
JMIR AI, Vol 2, p e46769 (2023)
BackgroundDeep learning models have shown great success in automating tasks in sleep medicine by learning from carefully annotated electroencephalogram (EEG) data. However, effectively using a large amount of raw EEG data remains a challenge. Object
Externí odkaz:
https://doaj.org/article/93c4ffd75d58404897e3c68559016f47
Publikováno v:
Infectious Agents and Cancer, Vol 17, Iss 1, Pp 1-8 (2022)
Abstract Background Hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) accounts for more than half of total HCC patients in developing countries. Currently, HBV-related HCC diagnosis and prognosis still lack specific biomarkers. Here, we
Externí odkaz:
https://doaj.org/article/52028018474e431098557373d3c1aa3d
Autor:
Junyi Gao, Chaoqi Yang, Joerg Heintz, Scott Barrows, Elise Albers, Mary Stapel, Sara Warfield, Adam Cross, Jimeng Sun
Publikováno v:
iScience, Vol 25, Iss 9, Pp 104970- (2022)
Summary: The COVID-19 pandemic has caused devastating economic and social disruption. This has led to a nationwide call for models to predict hospitalization and severe illness in patients with COVID-19 to inform the distribution of limited healthcar
Externí odkaz:
https://doaj.org/article/2ebce970a3024c29a4b0dfe1427cd94b
Autor:
Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
The paper extends earlier work on modeling hierarchically polarized groups on social media. An algorithm is described that 1) detects points of agreement and disagreement between groups, and 2) divides them hierarchically to represent nested patterns
Externí odkaz:
https://doaj.org/article/0743126c96634494a88dd9a570f0a93c
Autor:
Guojun Shi1, Chaoqi Yang1,2, Jiale Wu1, Yang Lei1,2, Jiazhi Hu3, Jianxun Feng1 fengjx@pku.edu.cn, Qing Li1 li.qing@pku.edu.cn
Publikováno v:
Science Advances. 8/9/2024, Vol. 10 Issue 32, p1-17. 17p.
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:2497-2511
Autor:
Jin Jing, Wendong Ge, Shenda Hong, Marta Bento Fernandes, Zhen Lin, Chaoqi Yang, Sungtae An, Aaron F. Struck, Aline Herlopian, Ioannis Karakis, Jonathan J. Halford, Marcus C. Ng, Emily L. Johnson, Brian L. Appavu, Rani A. Sarkis, Gamaleldin Osman, Peter W. Kaplan, Monica B. Dhakar, Lakshman Arcot Jayagopal, Zubeda Sheikh, Olga Taraschenko, Sarah Schmitt, Hiba A. Haider, Jennifer A. Kim, Christa B. Swisher, Nicolas Gaspard, Mackenzie C. Cervenka, Andres A. Rodriguez Ruiz, Jong Woo Lee, Mohammad Tabaeizadeh, Emily J. Gilmore, Kristy Nordstrom, Ji Yeoun Yoo, Manisha G. Holmes, Susan T. Herman, Jennifer A. Williams, Jay Pathmanathan, Fábio A. Nascimento, Ziwei Fan, Samaneh Nasiri, Mouhsin M. Shafi, Sydney S. Cash, Daniel B. Hoch, Andrew J. Cole, Eric S. Rosenthal, Sahar F. Zafar, Jimeng Sun, M. Brandon Westover
Publikováno v:
Neurology
BACKGROUND AND OBJECTIVES: Seizures (SZs) and other SZ-like patterns of brain activity can harm the brain and contribute to in-hospital death, particularly when prolonged. However, experts qualified to interpret EEG data are scarce. Prior attempts to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0131441859f5cbe607bba2cde0f2a5e4
https://europepmc.org/articles/PMC10136013/
https://europepmc.org/articles/PMC10136013/
BACKGROUND Deep learning models have shown great success in automating tasks in sleep medicine by learning from carefully annotated Electroencephalogram (EEG) data. However, effectively utilizing a large amount of raw EEG remains a challenge. OBJECTI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77957786449d2e4d4e1d14650e4e7670
https://doi.org/10.2196/preprints.46769
https://doi.org/10.2196/preprints.46769
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264115
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9d77150fd88fc7e11cdfa540e92bf06
https://doi.org/10.1007/978-3-031-26412-2_2
https://doi.org/10.1007/978-3-031-26412-2_2
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).