Yi Guo
Orcid: 0000-0003-0587-4105Affiliations:
- University of Florida, Department of Health Outcomes & Biomedical Informatics, Gainesville, FL, USA
- Ohio State University, Columbus, OH, USA (PhD 2009)
According to our database1,
Yi Guo
authored at least 62 papers
between 2016 and 2024.
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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
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization.
Informatics, 2024
Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure.
CoRR, 2024
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.
CoRR, 2024
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
2023
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records.
J. Am. Medical Informatics Assoc., December, 2023
Contextualized medication information extraction using Transformer-based deep learning architectures.
J. Biomed. Informatics, June, 2023
npj Digit. Medicine, 2023
Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach.
Informatics, 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
Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Exploring the Effect of Eligibility Criteria on AD Severity and Severe Adverse Event in Eligible Patients.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
Int. J. Medical Informatics, 2022
Int. J. Medical Informatics, 2022
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies.
CoRR, 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
Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials.
Proceedings of the AMIA 2022, 2022
2021
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease.
npj Digit. Medicine, 2021
Bagged random causal networks for interventional queries on observational biomedical datasets.
J. Biomed. Informatics, 2021
Deep propensity network using a sparse autoencoder for estimation of treatment effects.
J. Am. Medical Informatics Assoc., 2021
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review.
J. Am. Medical Informatics Assoc., 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
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
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Causal inference and counterfactual prediction in machine learning for actionable healthcare.
Nat. Mach. Intell., 2020
An ontology-based documentation of data discovery and integration process in cancer outcomes research.
BMC Medical Informatics Decis. Mak., 2020
Mining Twitter to assess the determinants of health behavior toward human papillomavirus vaccination in the United States.
J. Am. Medical Informatics Assoc., 2020
Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data.
J. Am. Medical Informatics Assoc., 2020
Assessing mental health signals among sexual and gender minorities using Twitter data.
Health Informatics J., 2020
Assessing the effect of data integration on predictive ability of cancer survival models.
Health Informatics J., 2020
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.
CoRR, 2020
Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 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
Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer's Disease and Donepezil.
Proceedings of the AMIA 2020, 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
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design.
BMC Medical Informatics Decis. Mak., 2019
Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States.
CoRR, 2019
Ontology for Documentation of Variable and Data Source Selection Process to Support Integrative Data Analysis in Cancer Outcomes Research.
Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 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
Assessing the Validity of a a priori Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study.
Proceedings of the AMIA 2019, 2019
2018
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival.
BMC Medical Informatics Decis. Mak., 2018
OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.
BMC Medical Informatics Decis. Mak., 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
Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials.
Proceedings of the AMIA 2018, 2018
Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition.
Proceedings of the AMIA 2018, 2018
2017
Towards a privacy preserving cohort discovery framework for clinical research networks.
J. Biomed. Informatics, 2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Proceedings of the 8th International Conference on Biomedical Ontology (ICBO 2017), Newcastle-upon-Tyne, United Kingdom, September 13th, 2017
Data integration through ontology-based data access to support integrative data analysis: A case study of cancer survival.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
A Twitter Study of the Relationship between the Geographic Variations of HPV Vaccination Rates and Online Information in the United States.
Proceedings of the AMIA 2017, 2017
Proceedings of the AMIA 2017, 2017
Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network.
Proceedings of the AMIA 2017, 2017
Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.
Proceedings of the AMIA 2017, 2017
2016
Examining Healthcare Utilization Patterns of Elderly and Middle-Aged Adults in the United States.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Towards an obesity-cancer knowledge base: Biomedical entity identification and relation detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016