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Yang Xiang
Yang Xiang
Peng Cheng Laboratory, China
Bestätigte E-Mail-Adresse bei pcl.ac.cn - Startseite
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Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi
Nature: NPJ Digital Medicine, 2021
6812021
Deep learning in clinical natural language processing: a methodical review
S Wu, K Roberts, S Datta, J Du, Z Ji, Y Si, S Soni, Q Wang, Q Wei, Y Xiang, ...
JAMIA, 0
431*
ML-Net: multi-label classification of biomedical texts with deep neural networks
J Du, Q Chen, Y Peng, Y Xiang, C Tao, Z Lu
JAMIA, 2019
1722019
A study of deep learning approaches for medication and adverse drug event extraction from clinical text
Q Wei, Z Ji, Z Li, J Du, J Wang, J Xu, Y Xiang, F Tiryaki, S Wu, Y Zhang, ...
JAMIA, 2020
1162020
XA-BiLSTM: A deep learning approach for depression detection in imbalanced data
Q Cong, Z Feng, F Li, Y Xiang, G Rao, C Tao
BIBM, 2018
962018
Ernie 3.0 titan: Exploring larger-scale knowledge enhanced pre-training for language understanding and generation
S Wang, Y Sun, Y Xiang, Z Wu, S Ding, W Gong, S Feng, J Shang, Y Zhao, ...
Technical Report, 2021
952021
Public perception analysis of tweets during the 2015 measles outbreak: comparative study using convolutional neural network models
J Du, L Tang, Y Xiang, D Zhi, J Xu, HY Song, C Tao
JMIR, 2018
702018
Answer selection in community question answering via attentive neural networks
Y Xiang, Q Chen, X Wang, Y Qin
IEEE Signal Processing Letters, 2017
572017
Accelerating diffusion models via pre-segmentation diffusion sampling for medical image segmentation
X Guo, Y Yang, C Ye, S Lu, B Peng, H Huang, Y Xiang, T Ma
IEEE ISBI, 2023
422023
Asthma exacerbation prediction and risk factor analysis based on a time-sensitive, attentive neural network: retrospective cohort study
Y Xiang, H Ji, Y Zhou, F Li, J Du, L Rasmy, S Wu, WJ Zheng, H Xu, D Zhi, ...
JMIR, 2020
422020
Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records
S Liu, X Wang, Y Hou, G Li, H Wang, H Xu, Y Xiang, B Tang
IEEE JBHI, 2022
402022
pretrained contextualized embeddings on largescale structured electronic health records for disease prediction. npj Digital Medicine. 2021; 4 (1): 1–13
L Rasmy, Y Xiang, Z Xie, C Tao, DMB Zhi
39
Nonselective beta‐blockers are associated with a lower risk of hepatocellular carcinoma among cirrhotic patients in the United States
K Wijarnpreecha, F Li, Y Xiang, X Xu, C Zhu, V Maroufy, Q Wang, W Tao, ...
Alimentary pharmacology & therapeutics 54 (4), 481-492, 2021
362021
Multi-channel fusion LSTM for medical event prediction using EHRs
S Liu, X Wang, Y Xiang, H Xu, H Wang, B Tang
JBI 127, 104011, 2022
352022
Exploiting adversarial transfer learning for adverse drug reaction detection from texts
Z Li, Z Yang, L Luo, Y Xiang, H Lin
JBI, 2020
352020
Time-sensitive clinical concept embeddings learned from large electronic health records
Y Xiang, J Xu, Y Si, Z Li, L Rasmy, Y Zhou, F Tiryaki, F Li, Y Zhang, Y Wu, ...
BMC medical informatics and decision making, 2019
352019
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning
J Du, Y Xiang, M Sankaranarayanapillai, M Zhang, J Wang, Y Si, ...
JAMIA, 2021
332021
Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies
L Rasmy, F Tiryaki, Y Zhou, Y Xiang, C Tao, H Xu, D Zhi
JAMIA, 2020
332020
Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events
F Li, J Du, Y He, HY Song, M Madkour, G Rao, Y Xiang, Y Luo, HW Chen, ...
JAMIA, 2020
322020
Incorporating label dependency for answer quality tagging in community question answering via cnn-lstm-crf
Y Xiang, X Zhou, Q Chen, Z Zheng, B Tang, X Wang, Y Qin
COLING, 2016
312016
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