Zobrazeno 1 - 10
of 982
pro vyhledávání: '"YU, Zhihao"'
While pioneering deep learning methods have made great strides in analyzing electronic health record (EHR) data, they often struggle to fully capture the semantics of diverse medical codes from limited data. The integration of external knowledge from
Externí odkaz:
http://arxiv.org/abs/2408.13073
Electronic health record (EHR) data has emerged as a valuable resource for analyzing patient health status. However, the prevalence of missing data in EHR poses significant challenges to existing methods, leading to spurious correlations and suboptim
Externí odkaz:
http://arxiv.org/abs/2405.09039
Autor:
Luo, Zhongzhong, Yu, Zhihao, Lu, Xiangqian, Niu, Wei, Yu, Yao, Yao, Yu, Tian, Fuguo, Tan, Chee Leong, Sun, Huabin, Gao, Li, Qin, Wei, Xu, Yong, Zhao, Qiang, Song, Xiang-Xiang
Publikováno v:
Nano Lett. (2024)
Two-dimensional (2D) materials are promising candidates for spintronic applications. Maintaining their atomically smooth interfaces during integration of ferromagnetic (FM) electrodes is crucial since conventional metal deposition tends to induce def
Externí odkaz:
http://arxiv.org/abs/2405.06940
Deep learning algorithms, especially Transformer-based models, have achieved significant performance by capturing long-range dependencies and historical information. However, the power of convolution has not been fully investigated. Moreover, most ex
Externí odkaz:
http://arxiv.org/abs/2312.16790
Predicting health risks from electronic health records (EHR) is a topic of recent interest. Deep learning models have achieved success by modeling temporal and feature interaction. However, these methods learn insufficient representations and lead to
Externí odkaz:
http://arxiv.org/abs/2312.10977
Autor:
Yu, Zhihao1 (AUTHOR) zhihaoyu@unomaha.edu, Ponomarenko, Veronika2 (AUTHOR), Liska, Luke Ingalls3 (AUTHOR)
Publikováno v:
Journal of Advertising. Apr/May2024, Vol. 53 Issue 2, p215-229. 15p.
Publikováno v:
Journal of Advertising. Jan2024, p1-22. 22p. 8 Illustrations, 2 Charts.
Autor:
Ma, Liantao, Zhang, Chaohe, Gao, Junyi, Jiao, Xianfeng, Yu, Zhihao, Ma, Xinyu, Wang, Yasha, Tang, Wen, Zhao, Xinju, Ruan, Wenjie, Wang, Tao
Objective: Peritoneal Dialysis (PD) is one of the most widely used life-supporting therapies for patients with End-Stage Renal Disease (ESRD). Predicting mortality risk and identifying modifiable risk factors based on the Electronic Medical Records (
Externí odkaz:
http://arxiv.org/abs/2301.07107
Publikováno v:
In Polymer 15 November 2024 313
From waste to resource: Advanced activation techniques for tailings in sustainable cement production
Publikováno v:
In Journal of Building Engineering 15 November 2024 97