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Xi Yang 0015
Person information
- affiliation: University of Florida, Health Outcomes & Biomedical Informatics, Gainesville, FL, USA
Other persons with the same name
- Xi Yang — disambiguation page
- Xi Yang 0001 — University of Southern California, Information Science Institute East, Arlington, VA, USA (and 1 more)
- Xi Yang 0002 — Illinois Institute of Technology, Department of Computer Science, Chicago, IL, USA
- Xi Yang 0003 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Xi Yang 0004 — University of Virginia, Department of Environmental Sciences, Charlottesville, VA, USA (and 1 more)
- Xi Yang 0005 — Beijing Wuzi University, School of Information, China (and 1 more)
- Xi Yang 0006 — Zhejiang University of Technology, School of Computer Science and Technology, Hangzhou, China (and 1 more)
- Xi Yang 0007 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Xi Yang 0008 — Xi'an Jiaotong-Liverpool University, Department of Electrical and Electronic Engineering, Suzhou, China
- Xi Yang 0009 — Dalian Maritime University, College of Information Science and Technology, China
- Xi Yang 0010 — Imperial College London, UK (and 2 more)
- Xi Yang 0011 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China (and 1 more)
- Xi Yang 0012 — South China University of Technology, Guangzhou, China
- Xi Yang 0013 — Jinan University, Shenzhen, China
- Xi Yang 0014 — North China University of Science and Technology, Tangshan, China
- Xi Yang 0016 — Michigan State University, East Lansing, MI, USA
- Xi Yang 0017 — Jilin University, Changchun, China (and 1 more)
- Xi Yang 0018 — Nanjing University of Aeronautics and Astronautics, Department of Mathematics, China (and 1 more)
- Xi Yang 0019 — North Carolina State University, Department of Computer Science, Raleigh, NC, USA
- Xi Yang 0020 — National University of Defence Technology, College of Computer, State Key Laboratory of High-Performance Computing, Changsha, China (and 1 more)
- Xi Yang 0021 — Australian National University, Department of Computer Science, Australia
- Xi Yang 0022 — Hong Kong Polytechnic University, Hung Hom, Hong Kong
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Journal Articles
- 2024
- [j17]Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu:
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. J. Am. Medical Informatics Assoc. 31(9): 1892-1903 (2024) - [j16]Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu:
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. J. Biomed. Informatics 153: 104630 (2024) - [j15]Zehao Yu, Cheng Peng, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu:
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. J. Biomed. Informatics 153: 104642 (2024) - [j14]Shuang Yang, Xi Yang, Tianchen Lyu, James L. Huang, Aokun Chen, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yonghui Wu, Yi Guo, Jiang Bian:
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models. J. Heal. Informatics Res. 8(3): 463-477 (2024) - 2023
- [j13]Zhaoyi Chen, Hansi Zhang, Xi Yang, Songzi Wu, Xing He, Jie Xu, Jingchuan Guo, Mattia Prosperi, Fei Wang, Hua Xu, Yong Chen, Hui Hu, Steven DeKosky, Matthew Farrer, Yi Guo, Yonghui Wu, Jiang Bian:
Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias. Int. J. Medical Informatics 170: 104973 (2023) - [j12]Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu:
Clinical concept and relation extraction using prompt-based machine reading comprehension. J. Am. Medical Informatics Assoc. 30(9): 1486-1493 (2023) - [j11]Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu:
Contextualized medication information extraction using Transformer-based deep learning architectures. J. Biomed. Informatics 142: 104370 (2023) - [j10]Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu:
A study of generative large language model for medical research and healthcare. npj Digit. Medicine 6 (2023) - 2022
- [j9]Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu:
Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods. BMC Medical Informatics Decis. Mak. 22-S(3): 255 (2022) - [j8]Xi Yang, Aokun Chen, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu:
A large language model for electronic health records. npj Digit. Medicine 5 (2022) - 2021
- [j7]Braja Gopal Patra, Mohit M. Sharma, Veer Vekaria, Prakash Adekkanattu, Olga V. Patterson, Benjamin S. Glicksberg, Lauren A. Lepow, Euijung Ryu, Joanna M. Biernacka, Al'ona Furmanchuk, Thomas J. George, William R. Hogan, Yonghui Wu, Xi Yang, Jiang Bian, Myrna Weissman, Priya Wickramaratne, J. John Mann, Mark Olfson, Thomas R. Campion Jr., Mark G. Weiner, Jyotishman Pathak:
Extracting social determinants of health from electronic health records using natural language processing: a systematic review. J. Am. Medical Informatics Assoc. 28(12): 2716-2727 (2021) - 2020
- [j6]Yunpeng Zhao, Yi Guo, Xing He, Yonghui Wu, Xi Yang, Mattia Prosperi, Yanghua Jin, Jiang Bian:
Assessing mental health signals among sexual and gender minorities using Twitter data. Health Informatics J. 26(2): 765-786 (2020) - [j5]Xi Yang, Jiang Bian, Ruogu Fang, Ragnhildur I. Bjarnadottir, William R. Hogan, Yonghui Wu:
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting. J. Am. Medical Informatics Assoc. 27(1): 65-72 (2020) - [j4]Xi Yang, Jiang Bian, William R. Hogan, Yonghui Wu:
Clinical concept extraction using transformers. J. Am. Medical Informatics Assoc. 27(12): 1935-1942 (2020) - 2019
- [j3]Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jinhai Huo, Jordan Alpert, Jiang Bian:
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics Decis. Mak. 19-S(4): 150:1-150:18 (2019) - [j2]Xi Yang, Tianchen Lyu, Qian Li, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu:
A study of deep learning methods for de-identification of clinical notes in cross-institute settings. BMC Medical Informatics Decis. Mak. 19-S(5): 6 (2019) - 2018
- [j1]Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Yi Guo, Zhe He, Xi Yang, Hansi Zhang, Jiang Bian:
OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system. BMC Medical Informatics Decis. Mak. 18(S-2): 115-127 (2018)
Conference and Workshop Papers
- 2022
- [c16]Zehao Yu, Xi Yang, Yiqing Chen, Ruogu Fang, William R. Hogan, Yan Gong, Yonghui Wu:
Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data. ICHI 2022: 138-142 - [c15]Shuang Yang, Xi Yang, Tianchen Lyu, Xing He, Dejana Braithwaite, Hiren J. Mehta, Yi Guo, Yonghui Wu, Jiang Bian:
A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing. ICHI 2022: 618-619 - 2021
- [c14]Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu:
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. AMIA 2021 - [c13]Hansi Zhang, Xi Yang, Thomas J. George, William R. Hogan, Jiang Bian, Yonghui Wu:
Developing an Ontology for Social and Behavioral Determinants of Health. AMIA 2021 - [c12]Yunpeng Zhao, Pengfei Yin, Yongqiu Li, Xing He, Jingcheng Du, Cui Tao, Yi Guo, Mattia Prosperi, Pierangelo Veltri, Xi Yang, Yonghui Wu, Jiang Bian:
Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets. AMIA 2021 - [c11]Shubo Tian, Arslan Erdengasileng, Xi Yang, Yi Guo, Yonghui Wu, Jinfeng Zhang, Jiang Bian, Zhe He:
Transformer-based named entity recognition for parsing clinical trial eligibility criteria. BCB 2021: 49:1-49:6 - [c10]Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu:
Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods. ICHI 2021: 499-500 - 2020
- [c9]Yi Guo, Xing He, Tianchen Lyu, Hansi Zhang, Yonghui Wu, Xi Yang, Zhaoyi Chen, Merry J. Markham, François Modave, Mengjun Xie, William R. Hogan, Christopher A. Harle, Elizabeth Shenkman, Jiang Bian:
Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups. AMIA 2020 - [c8]Xi Yang, Hanyuan Yang, Tianchen Lyu, Shuang Yang, Yi Guo, Jiang Bian, Hua Xu, Yonghui Wu:
A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives. ICHI 2020: 1-2 - 2019
- [c7]Xi Yang, Yan Gong, Nida Waheed, Keith March, Jiang Bian, William R. Hogan, Yonghui Wu:
Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods. AMIA 2019 - [c6]Xing He, Hansi Zhang, Xi Yang, Yi Guo, Jiang Bian:
STAT: A Web-based Semantic Text Annotation Tool to Assist Building Mental Health Knowledge Base. ICHI 2019: 1-4 - [c5]Xi Yang, Tianchen Lyu, Chih-Yin Lee, Jiang Bian, William R. Hogan, Yonghui Wu:
A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings. ICHI 2019: 1-3 - 2018
- [c4]Yonghui Wu, Xi Yang, Jiang Bian, Yi Guo, Hua Xu, William R. Hogan:
Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition. AMIA 2018 - [c3]Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jiang Bian:
Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. BIBM 2018: 1649-1652 - [c2]Yunpeng Zhao, Yi Guo, Xing He, Jinhai Huo, Yonghui Wu, Xi Yang, Jiang Bian:
Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data. ICHI Workshops 2018: 51-52 - [c1]Xi Yang, Jiang Bian, Yonghui Wu:
Detecting Medications and Adverse Drug Events in Clinical Notes Using Recurrent Neural Networks. Medication and Adverse Drug Event Detection 2018: 1-6
Informal and Other Publications
- 2023
- [i11]Aokun Chen, Zehao Yu, Xi Yang, Yi Guo, Jiang Bian, Yonghui Wu:
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures. CoRR abs/2303.08259 (2023) - [i10]Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu:
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension. CoRR abs/2303.08262 (2023) - [i9]Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth Shenkman, Yi Guo, Jiang Bian, Yonghui Wu:
A Study of Generative Large Language Model for Medical Research and Healthcare. CoRR abs/2305.13523 (2023) - [i8]Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu:
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction. CoRR abs/2310.06239 (2023) - [i7]Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. CoRR abs/2310.07321 (2023) - [i6]Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu:
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need. CoRR abs/2312.06099 (2023) - 2022
- [i5]Xi Yang, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu:
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records. CoRR abs/2203.03540 (2022) - [i4]Zehao Yu, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu:
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies. CoRR abs/2212.03000 (2022) - 2021
- [i3]Xi Yang, Zehao Yu, Yi Guo, Jiang Bian, Yonghui Wu:
Clinical Relation Extraction Using Transformer-based Models. CoRR abs/2107.08957 (2021) - [i2]Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu:
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. CoRR abs/2108.04949 (2021) - 2019
- [i1]Xi Yang, Yan Gong, Nida Waheed, Keith March, Jiang Bian, William R. Hogan, Yonghui Wu:
Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods. CoRR abs/1910.00582 (2019)
Coauthor Index
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