Rui Zhang

发表

Longitudinal Analysis of New Information Types in Clinical Notes

Serguei V. S. Pakhomov, Rui Zhang, G. Melton, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs

Halil Kilicoglu, Serguei V. S. Pakhomov, Marcelo Fiszman, 2014, Cancer informatics.

Deep Learning: Fundamentals, Theory and Applications

A. Hussain, Qiu-Feng Wang, Rui Zhang, 2019, Cognitive Computation Trends.

Detecting associations between dietary supplement intake and sentiments within mental disorder tweets

Rui Zhang, Yunpeng Zhao, J. Bian, 2019, Health Informatics J..

Evaluating active learning methods for annotating semantic predications

Serguei V. S. Pakhomov, Rubina F. Rizvi, Rui Zhang, 2018, JAMIA open.

Mining Biomedical Literature to Explore Interactions between Cancer Drugs and Dietary Supplements

György J. Simon, Serguei V. S. Pakhomov, Genevieve B. Melton, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Navigating Longitudinal Clinical Notes with an Automated Method for Detecting New Information

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2015, MedInfo.

A Study on Phenotyping and Visualizing Black Box Warnings of Antineoplastic Breast Cancer Medications

Genevieve B. Melton, Deyu Sun, Gopal Sarda, 2017, CRI.

Detecting Signals of Interactions Between Warfarin and Dietary Supplements in Electronic Health Records

Reed McEwan, Terrence Adam, Serguei V. S. Pakhomov, 2018, MedInfo.

Automated Assessment of Medical Training Evaluation Text

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2012, AMIA.

Evaluating Term Coverage of Herbal and Dietary Supplements in Electronic Health Records

Terrence Adam, Serguei V. S. Pakhomov, Genevieve B. Melton, 2015, AMIA.

Assessing the Enrichment of Dietary Supplement Coverage in the UMLS

Rui Zhang, J. Bishop, T. Adam, 2020 .

Comparing the Study Populations in Dietary Supplement and Drug Clinical Trials for Metabolic Syndrome and Related Disorders.

Rubina F. Rizvi, Zhe He, Rui Zhang, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Prescription opioids are associated with higher mortality in patients diagnosed with sepsis: A retrospective cohort study using electronic health records

H. Chu, Rui Zhang, Sabita Roy, 2018, PloS one.

Assessing the Use and Perception of Dietary Supplements Among Obese Patients with National Health and Nutrition Examination Survey.

Rubina F. Rizvi, S. N. Payrovnaziri, Zhe He, 2020, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Assessing the use of prescription drugs and dietary supplements in obese respondents in the National Health and Nutrition Examination Survey

Rui Zhang, T. Adam, J. Sheffler, 2022, PloS one.

A Novel MFS-MDR Transporter, MdrP, Employs D223 as a Key Determinant in the Na+ Translocation Coupled to Norfloxacin Efflux

Rui Zhang, Juquan Jiang, Yuting Wang, 2020, Frontiers in Microbiology.

Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements

Rui Zhang, Jiang Bian, Zhe He, 2019, MedInfo.

Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats From Treatment of Breast Cancer at a Single Institution

Jyotishman Pathak, Rui Zhang, Hongfang Liu, 2018, Clinical and translational science.

Detecting Signals of Dietary Supplement Adverse Events from the CFSAN Adverse Event Reporting System (CAERS).

Rui Zhang, Rubina F. Rizvi, Rubina F Rizvi, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States

Rui Zhang, Jiang Bian, Adam G. Dunn, 2019, J. Am. Medical Informatics Assoc..

NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models

György J. Simon, Serguei V. S. Pakhomov, Raymond L. Finzel, 2021, J. Artif. Intell. Res..

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design

Xing He, Rui Zhang, Jiang Bian, 2019, BMC Medical Informatics and Decision Making.

When text simplification is not enough: could a graph-based visualization facilitate consumers’ comprehension of dietary supplement information?

Rui Zhang, Yifan Peng, Hansi Zhang, 2020, JAMIA open.

Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications

György J. Simon, Genevieve B. Melton, Deyu Sun, 2017, AMIA.

Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text

Rui Zhang, Yifan Li, Yadan Fan, 2020, J. Am. Medical Informatics Assoc..

Exploring Eating Disorder Topics on Twitter: Machine Learning Approach

Rui Zhang, Jiang Bian, Sicheng Zhou, 2020, JMIR medical informatics.

Using semantic predications to uncover drug-drug interactions in clinical data

Halil Kilicoglu, Serguei V. S. Pakhomov, Marcelo Fiszman, 2014, J. Biomed. Informatics.

A conversational agent system for dietary supplements use pdf

Serguei V. S. Pakhomov, Jiang Bian, Rui Zhang, 2021, BMC Medical Informatics and Decision Making.

Using natural language processing methods to classify use status of dietary supplements in clinical notes

Rui Zhang, Yadan Fan, Rui Zhang, 2018, BMC Medical Informatics and Decision Making.

Deep learning models in detection of dietary supplement adverse event signals from Twitter

Jiang Bian, Yefeng Wang, Rui Zhang, 2021, JAMIA open.

Research and Applications Deep learning models in detection of dietary supplement adverse event signals from Twitter

Rui Zhang, J. Bian, Yunpeng Zhao, 2021 .

Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019)

Rui Zhang, Jiang Bian, Zhe He, 2020, BMC Medical Informatics and Decision Making.

Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018)

Rui Zhang, Jiang Bian, Zhe He, 2019, BMC Medical Informatics and Decision Making.

Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017)

Cui Tao, Jiang Bian, Rui Zhang, 2018, BMC Medical Informatics and Decision Making.

Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System

Olivier Bodenreider, Rui Zhang, Jeffrey R Bishop, 2020, J. Am. Medical Informatics Assoc..

iDISK: the integrated DIetary Supplements Knowledge base

Rui Zhang, Jiang Bian, Rubina F. Rizvi, 2020, J. Am. Medical Informatics Assoc..

Phenotyping and Visualizing Infusion-Related Reactions for Breast Cancer Patients

Saif S. Khairat, Genevieve B. Melton, Deyu Sun, 2018, MedInfo.

Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph

Yi Guo, Xing He, Xi Yang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Evaluating measures of redundancy in clinical texts.

Bridget T. McInnes, Serguei V. S. Pakhomov, Rui Zhang, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models

Jiyang Chen, Sicheng Zhou, Julian Wolfson, 2021, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI).

Using word embeddings to expand terminology of dietary supplements on clinical notes

Reed McEwan, Serguei V. S. Pakhomov, Rui Zhang, 2019, JAMIA open.

Using Language Models to Identify Relevant New Information in Inpatient Clinical Note

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2014, AMIA.

Detecting clinically relevant new information in clinical notes across specialties and settings

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2017, BMC Medical Informatics and Decision Making.

Using semantic predications to uncover drug-drug interactions in clinical data

Serguei V. S. Pakhomov, Michael J. Cairelli, T. Rindflesch, 2014, J. Biomed. Informatics.

A fast, resource efficient, and reliable rule-based system for COVID-19 symptom identification

Serguei V. S. Pakhomov, Raymond L. Finzel, Benjamin C. Knoll, 2021, JAMIA open.

Identifying Cardiomegaly in ChestX-ray8 Using Transfer Learning

Rui Zhang, Sicheng Zhou, Xinyuan Zhang, 2019, MedInfo.

Applications of Natural Language Processing in Clinical Research and Practice

Sunghwan Sohn, Rui Zhang, Yanshan Wang, 2019, NAACL.

Automated identification of relevant new information in clinical narrative

Serguei V. S. Pakhomov, Genevieve B. Melton, Rui Zhang, 2012, IHI '12.

Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision

Rui Zhang, Yanshan Wang, Anusha Bompelli, 2021, ArXiv.

Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature pdf

Halil Kilicoglu, Marcelo Fiszman, Rui Zhang, 2021, ArXiv.

Exploring Eating Disorder Topics on Twitter: Machine Learning Approach

Rui Zhang, A. Haynos, Yunpeng Zhao, 2020, JMIR medical informatics.

Normalizing Dietary Supplement Product Names Using the RxNorm Model

Olivier Bodenreider, Rui Zhang, Yadan Fan, 2019, MedInfo.

Comparing Existing Resources to Represent Dietary Supplements

Serguei V. S. Pakhomov, Rubina F. Rizvi, Elizabeth A. Lindemann, 2018, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Detecting Signals of Associations Between Dietary Supplement Use and Mental Disorders from Twitter

Jiang Bian, Yefeng Wang, Rui Zhang, 2018, 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W).