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Author Details
Full Name
Yang Xiang
Affiliation
The University of Texas Health Science Center at Houston
ORCID
Career Start Year
2018
Papers
24
H Index
12
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
37664001
Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning.
IEEE Int Conf Healthc Inform
2022
37632881
Issues in Melanoma Detection: Semisupervised Deep Learning Algorithm Development via a Combination of Human and Artificial Intelligence.
JMIR Dermatol
2022
33306549
Identifying influential neighbors in social networks and venue affiliations among young MSM: a data science approach to predict HIV infection.
AIDS
2021
33647938
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.
J Am Med Inform Assoc
2021
33895839
COVID-19 trial graph: a linked graph for COVID-19 clinical trials.
J Am Med Inform Assoc
2021
34224163
Nonselective beta-blockers are associated with a lower risk of hepatocellular carcinoma among cirrhotic patients in the United States.
Aliment Pharmacol Ther
2021
34017034
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.
NPJ Digit Med
2021
30843449
Ontological representation-oriented term normalization and standardization of the Research Domain Criteria.
Health Informatics J
2020
31851954
A novel deep learning model using dosimetric and clinical information for grade 4 radiotherapy-induced lymphopenia prediction.
Phys Med Biol
2020
31794016
Deep learning in clinical natural language processing: a methodical review.
J Am Med Inform Assoc
2020
32626903
Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events.
J Am Med Inform Assoc
2020
32735224
Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study.
J Med Internet Res
2020
32930711
Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies.
J Am Med Inform Assoc
2020
32216746
Exploiting sequence labeling framework to extract document-level relations from biomedical texts.
BMC Bioinformatics
2020
32335225
Exploiting adversarial transfer learning for adverse drug reaction detection from texts.
J Biomed Inform
2020
31135882
A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
J Am Med Inform Assoc
2020
30961579
Time-sensitive clinical concept embeddings learned from large electronic health records.
BMC Med Inform Decis Mak
2019
31801529
Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text.
BMC Med Inform Decis Mak
2019
32537570
Detect Attributes of Medical Concepts via Sequence Labeling.
IEEE Int Conf Healthc Inform
2019
31304374
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media.
NPJ Digit Med
2019
31197365
Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men.
J Am Med Inform Assoc
2019
31233120
ML-Net: multi-label classification of biomedical texts with deep neural networks.
J Am Med Inform Assoc
2019
31497391
Investigating safety profiles of human papillomavirus vaccine across group differences using VAERS data and MedDRA.
PeerJ
2019
29986843
Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.
J Med Internet Res
2018
1 - 24 of 24
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Co-authored papers
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Xiaoqian Jiang
Carnegie Mellon University, The University of Texas Health Science Center at Houston, University of California San Diego
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Firat Tiryaki
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Yuqi Si
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3
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University of Florida
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Yong Chen
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Cong Zhu
School of Public Health, The University of Texas Health Science Center at Houston
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