Xi Yang
Orcid: 0000-0003-2981-3972Affiliations:
- University of Florida, Health Outcomes & Biomedical Informatics, Gainesville, FL, USA
According to our database1,
Xi Yang
authored at least 37 papers
between 2018 and 2024.
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Online presence:
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on orcid.org
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Bibliography
2024
Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports of Lung Cancer Screening Patients Using Transformer Models.
J. Heal. Informatics Res., September, 2024
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.
J. Biomed. Informatics, 2024
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction.
J. Biomed. Informatics, 2024
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need.
J. Am. Medical Informatics Assoc., 2024
2023
Clinical concept and relation extraction using prompt-based machine reading comprehension.
J. Am. Medical Informatics Assoc., August, 2023
Contextualized medication information extraction using Transformer-based deep learning architectures.
J. Biomed. Informatics, June, 2023
npj Digit. Medicine, 2023
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, 2023
2022
Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods.
BMC Medical Informatics Decis. Mak., 2022
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies.
CoRR, 2022
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records.
CoRR, 2022
Identify Cancer Patients at Risk for Heart Failure using Electronic Health Record and Genetic Data.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
2021
Extracting social determinants of health from electronic health records using natural language processing: a systematic review.
J. Am. Medical Informatics Assoc., 2021
Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
Transformer-based named entity recognition for parsing clinical trial eligibility criteria.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
J. Am. Medical Informatics Assoc., 2020
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.
J. Am. Medical Informatics Assoc., 2020
Assessing mental health signals among sexual and gender minorities using Twitter data.
Health Informatics J., 2020
A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups.
Proceedings of the AMIA 2020, 2020
2019
A study of deep learning methods for de-identification of clinical notes in cross-institute settings.
BMC Medical Informatics Decis. Mak., 2019
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design.
BMC Medical Informatics Decis. Mak., 2019
A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
STAT: A Web-based Semantic Text Annotation Tool to Assist Building Mental Health Knowledge Base.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods.
Proceedings of the AMIA 2019, 2019
2018
OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.
BMC Medical Informatics Decis. Mak., 2018
Detecting Medications and Adverse Drug Events in Clinical Notes Using Recurrent Neural Networks.
Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, 2018
Assessing Mental Health Signals Among Sexual and Gender Minorities using Twitter Data.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition.
Proceedings of the AMIA 2018, 2018