Rui Zhang
Orcid: 0000-0001-8258-3585Affiliations:
- University of Minnesota, Institute for Health Informatics / Department of Surgery, Minneapolis, MN, USA
According to our database1,
Rui Zhang
authored at least 100 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on med.umn.edu
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Bibliography
2024
Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition.
J. Am. Medical Informatics Assoc., January, 2024
An in-depth evaluation of federated learning on biomedical natural language processing for information extraction.
npj Digit. Medicine, 2024
J. Biomed. Informatics, 2024
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction.
J. Am. Medical Informatics Assoc., 2024
CoRR, 2024
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness.
CoRR, 2024
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models.
CoRR, 2024
2023
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C).
J. Am. Medical Informatics Assoc., November, 2023
Extracting Complementary and Integrative Health Approaches in Electronic Health Records.
J. Heal. Informatics Res., September, 2023
Representing and utilizing clinical textual data for real world studies: An OHDSI approach.
J. Biomed. Informatics, June, 2023
Frontiers Artif. Intell., February, 2023
PeTailor: Improving Large Language Model by Tailored Chunk Scorer in Biomedical Triple Extraction.
CoRR, 2023
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare.
CoRR, 2023
A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing.
CoRR, 2023
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain.
CoRR, 2023
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition.
CoRR, 2023
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations.
CoRR, 2023
A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records.
CoRR, 2023
A Symptom-Based Natural Language Processing Surveillance Pipeline for Post-COVID-19 Patients.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Repurposing Drugs for Alzheimer's Diseases through Link Prediction on Biomedical Literature.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
BMC Medical Informatics Decis. Mak., 2022
Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.
BMC Medical Informatics Decis. Mak., 2022
Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature.
J. Biomed. Informatics, 2022
CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records.
J. Am. Medical Informatics Assoc., 2022
CoRR, 2022
Mining on Alzheimer's diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing.
BMC Bioinform., 2022
Annotating Music Therapy, Chiropractic and Aquatic Exercise Using Electronic Health Record.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Racial Disparities in Alzheimer's Disease and Alzheimer's Disease-Related Dementias from the Disease Progression Perspective.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022
Proceedings of the AMIA 2022, 2022
Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution.
Proceedings of the AMIA 2022, 2022
2021
J. Biomed. Informatics, 2021
Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text.
J. Am. Medical Informatics Assoc., 2021
NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models.
J. Artif. Intell. Res., 2021
An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C).
CoRR, 2021
CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records.
CoRR, 2021
Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature.
CoRR, 2021
Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter.
CoRR, 2021
Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review.
CoRR, 2021
Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision.
CoRR, 2021
Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
Deep Learning Approaches for Breast Cancer Characteristics Extraction from Electronic Health Records.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Assessing the Use of Prescription Drugs in Obese Respondents in the National Health and Nutrition Examination Survey.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019).
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 enrichment of dietary supplement coverage in the Unified Medical Language System.
J. Am. Medical Informatics Assoc., 2020
J. Am. Medical Informatics Assoc., 2020
Detecting associations between dietary supplement intake and sentiments within mental disorder tweets.
Health Informatics J., 2020
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information?
CoRR, 2020
Natural Language Processing Methods to Extract Lifestyle Exposures for Alzheimer's Disease from Clinical Notes.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model.
Proceedings of the AMIA 2020, 2020
Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT.
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design.
BMC Medical Informatics Decis. Mak., 2019
Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018).
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
Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements.
CoRR, 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
Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Exploring the Discrepancies in Actual and Perceived Benefits of Dietary Supplements Among Obese Patients.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of the AMIA 2019, 2019
2018
Discovering and identifying New York heart association classification from electronic health records.
BMC Medical Informatics Decis. Mak., 2018
Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017).
BMC Medical Informatics Decis. Mak., 2018
Using natural language processing methods to classify use status of dietary supplements in clinical notes.
BMC Medical Informatics Decis. Mak., 2018
Detecting Signals of Associations Between Dietary Supplement Use and Mental Disorders from Twitter.
Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018
Estimating New York Heart Association Classification for Heart Failure Patients from Information in the Electronic Health Record.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Detecting clinically relevant new information in clinical notes across specialties and settings.
BMC Medical Informatics Decis. Mak., 2017
A cascaded approach for Chinese clinical text de-identification with less annotation effort.
J. Biomed. Informatics, 2017
Int. J. Medical Informatics, 2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Detecting Signals of Interactions Between Warfarin and Dietary Supplements in Electronic Health Records.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
A Study on Phenotyping and Visualizing Black Box Warnings of Antineoplastic Breast Cancer Medications.
Proceedings of the Summit on Clinical Research Informatics, 2017
Proceedings of the Summit on Clinical Research Informatics, 2017
Automatic methods to extract New York heart association classification from clinical notes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Evaluating automatic methods to extract patients' supplement use from clinical reports.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications.
Proceedings of the AMIA 2017, 2017
2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the AMIA 2016, 2016
Proceedings of the AMIA 2016, 2016
2015
Healthcare Data Analytics. Chandan K. Reddy and Charu C. Aggarwal. Boca Raton, FL: Chapman & Hall/CRC Press (2015) 724 pp.
J. Biomed. Informatics, 2015
Indexing Publicly Available Health Data with Medical Subject Headings (MeSH): An Evaluation of Term Coverage.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
Evaluating Term Coverage of Herbal and Dietary Supplements in Electronic Health Records.
Proceedings of the AMIA 2015, 2015
2014
J. Biomed. Informatics, 2014
Using Language Models to Identify Relevant New Information in Inpatient Clinical Note.
Proceedings of the AMIA 2014, 2014
Proceedings of the AMIA 2014, 2014
2013
Navigating Longitudinal Clinical Notes with an Automated Method for Detecting New Information.
Proceedings of the MEDINFO 2013, 2013
Proceedings of the AMIA 2013, 2013
2012
Proceedings of the ACM International Health Informatics Symposium, 2012
Proceedings of the AMIA 2012, 2012