Rui Zhang

Orcid: 0000-0001-8258-3585

Affiliations:
  • University of Minnesota, Institute for Health Informatics / Department of Surgery, Minneapolis, MN, USA


According to our database1, Rui Zhang authored at least 77 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

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

Editorial: Explainable artificial intelligence for critical healthcare applications.
Frontiers Artif. Intell., February, 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

Advanced Care Planning Content Encoding with Natural Language Processing.
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

2022
A conversational agent system for dietary supplements use.
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

Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients.
CoRR, 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

Canine Parvovirus Diagnosis Classification Utilizing Veterinary Free-Text Notes.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

MTAP - A Distributed Framework for NLP Pipelines.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

CIHLex: Complementary and Integrative Health Lexicon.
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
Drug repurposing for COVID-19 via knowledge graph completion.
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

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

iDISK: the integrated DIetary Supplements Knowledge base.
J. Am. Medical Informatics Assoc., 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

A Prototype Conversational Agent for Dietary Supplements.
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

Identifying Cardiomegaly in ChestX-ray8 Using Transfer Learning.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Normalizing Dietary Supplement Product Names Using the RxNorm Model.
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

Analysis of Twitter to Identify Topics Related to Eating Disorder Symptoms.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 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

Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph.
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

Advancing Alzheimer's research: A review of big data promises.
Int. J. Medical Informatics, 2017

Mining Adverse Events of Dietary Supplements from Product Labels by Topic Modeling.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Phenotyping and Visualizing Infusion-Related Reactions for Breast Cancer Patients.
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

Classifying Supplement Use Status in Clinical Notes.
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
Classification of use status for dietary supplements in clinical notes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Term Coverage of Dietary Supplements Ingredients in Product Labels.
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

Evaluation of Herbal and Dietary Supplement Resource Term Coverage.
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
Using semantic predications to uncover drug-drug interactions in clinical data.
J. Biomed. Informatics, 2014

Using Language Models to Identify Relevant New Information in Inpatient Clinical Note.
Proceedings of the AMIA 2014, 2014

Evolving Career Landscapes in Biomedical and Health Informatics.
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

Preparing for Informatics Careers and Trends in the Age of Meaningful Use.
Proceedings of the AMIA 2013, 2013

2012
Automated identification of relevant new information in clinical narrative.
Proceedings of the ACM International Health Informatics Symposium, 2012

Automated Assessment of Medical Training Evaluation Text.
Proceedings of the AMIA 2012, 2012


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