Yuqi Si
Yuqi Si
Verifierad e-postadress på uth.tmc.edu - Startsida
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Enhancing clinical concept extraction with contextual embeddings
Y Si, J Wang, H Xu, K Roberts
Journal of the American Medical Informatics Association 26 (11), 1297-1304, 2019
1062019
Effects of dietary Bacillus licheniformis on growth performance, immunological parameters, intestinal morphology and resistance of juvenile Nile tilapia (Oreochromis niloticus …
B Han, W Long, J He, Y Liu, Y Si, L Tian
Fish & shellfish immunology 46 (2), 225-231, 2015
692015
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, ...
Journal of the American Medical Informatics Association 27 (3), 457-470, 2020
512020
Deep Patient Representation of Clinical Notes via Multi-Task Learning for Mortality Prediction
Y Si, K Roberts
AMIA Summits on Translational Science Proceedings 2019, 779, 2019
162019
An OMOP CDM-based relational database of clinical research eligibility criteria
Y Si, C Weng
Studies in health technology and informatics 245, 950, 2017
142017
Relation extraction from clinical narratives using pre-trained language models
Q Wei, Z Ji, Y Si, J Du, J Wang, F Tiryaki, S Wu, C Tao, K Roberts, H Xu
AMIA Annual Symposium Proceedings 2019, 1236, 2019
122019
A frame-based NLP system for cancer-related information extraction
Y Si, K Roberts
AMIA Annual Symposium Proceedings 2018, 1524, 2018
122018
Understanding spatial language in radiology: representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning
S Datta, Y Si, L Rodriguez, SE Shooshan, D Demner-Fushman, K Roberts
Journal of biomedical informatics 108, 103473, 2020
102020
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 19 (2), 58, 2019
82019
Patient Representation Transfer Learning from Clinical Notes based on Hierarchical Attention Network
Y Si, K Roberts
AMIA Summits on Translational Science Proceedings 2020, 597, 2020
52020
A framenet for cancer information in clinical narratives: schema and annotation
K Roberts, Y Si, A Gandhi, E Bernstam
Proceedings of the Eleventh International Conference on Language Resources …, 2018
52018
The data gap in the EHR for clinical research eligibility screening
A Butler, W Wei, C Yuan, T Kang, Y Si, C Weng
AMIA Summits on Translational Science Proceedings 2018, 320, 2018
42018
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, ...
Journal of the American Medical Informatics Association, 2021
32021
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Y Si, J Du, Z Li, X Jiang, T Miller, F Wang, WJ Zheng, K Roberts
arXiv preprint arXiv:2010.02809, 2020
22020
Extracting Concepts for Precision Oncology from the Biomedical Literature
N Greenspan, Y Si, K Roberts
arXiv preprint arXiv:2010.00074, 2020
12020
Hierarchical Transformer Networks for Longitudinal Clinical Document Classification
Y Si, K Roberts
arXiv preprint arXiv:2104.08444, 2021
2021
Generalized and transferable patient language representation for phenotyping with limited data
Y Si, EV Bernstam, K Roberts
Journal of Biomedical Informatics 116, 103726, 2021
2021
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Artiklar 1–17