Zhe He

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 86

Top Venues

Publications

Zhe He, Balu Bhasuran, Qiao Jin, Shubo Tian, Karim Hanna, Cindy Shavor, Lisbeth Y. Garcia Arguello, Patrick Murray, Zhiyong Lu
Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study. CoRR (2024)
Qiao Jin, Zhizheng Wang, Yifan Yang, Qingqing Zhu, Donald Wright, Thomas Huang, W. John Wilbur, Zhe He, Andrew Taylor, Qingyu Chen, Zhiyong Lu
AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning. CoRR (2024)
Shubo Tian, Pengfei Yin, Hansi Zhang, Arslan Erdengasileng, Jiang Bian, Zhe He
Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model. BIBM (2023)
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. CoRR (2023)
Zhe He, Rui Zhang, Gayo Diallo, Zhengxing Huang, Benjamin S. Glicksberg
Editorial: Explainable artificial intelligence for critical healthcare applications. Frontiers Artif. Intell. 6 (2023)
Neel Bhate, Ansh Mittal, Zhe He, Xiao Luo
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model. BigData (2023)
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. BCB (2023)
Neel Bhate, Ansh Mittal, Zhe He, Xiao Luo
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model. CoRR (2023)
Gregor Stiglic, Leon Kopitar, Lucija Gosak, Primoz Kocbek, Zhe He, Prithwish Chakraborty, Pablo Meyer, Jiang Bian
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. CoRR (2023)
Arslan Erdengasileng, Shubo Tian, Sara S. Green, Sylvie Naar, Zhe He
Using Twitter Data Analysis to Understand the Perceptions, Awareness, and Barriers to the Wide Use of Pre-Exposure Prophylaxis in the United States. BIBM (2022)
Zhe He, Shubo Tian, Ankita Singh, Shayok Chakraborty, Shenghao Zhang, Mia Liza A. Lustria, Neil Charness, Nelson A. Roque, Erin Harrell, Walter R. Boot
A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training. Inf. Process. Manag. 59 (5) (2022)
Zhe He, Shubo Tian, Arslan Erdengasileng, Neil Charness, Jiang Bian
Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records. CoRR (2022)
Juan Xie, Zhe He, Gary Burnett, Ying Cheng
How do mothers exchange parenting-related information in online communities? A meta-synthesis. Comput. Hum. Behav. 115 (2021)
Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia C. F. Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian
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 4 (2021)
Shubo Tian, Arslan Erdengasileng, Xi Yang, Yi Guo, Yonghui Wu, Jinfeng Zhang, Jiang Bian, Zhe He
Transformer-based named entity recognition for parsing clinical trial eligibility criteria. BCB (2021)
Sicheng Zhou, Dalton Schutte, Aiwen Xing, Jiyang Chen, Julian Wolfson, Zhe He, Fang Yu, Rui Zhang
Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models. ICHI (2021)
Laura A. Barrett, Aiwen Xing, Elizabeth Steidley, Terrence J. Adam, Rui Zhang, Zhe He
Assessing the Use of Prescription Drugs in Obese Respondents in the National Health and Nutrition Examination Survey. AMIA (2021)
Yu Lu, Zhan Zhang, Katherine Min, Xiao Luo, Zhe He
Pregnancy-Related Information Seeking in Online Health Communities: A Qualitative Study. iConference (2) (2021)
Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo-Moreno, Tim Miller, Jiang Bian, Jonathan H. Chen, Xiuwen Liu, Zhe He
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. J. Am. Medical Informatics Assoc. 27 (7) (2020)
Xiao Luo, Haoran Ding, Matthew Tang, Priyanka Gandhi, Zhan Zhang, Zhe He
Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site. BIBM (2020)
Zhe He, Cui Tao, Jiang Bian, Rui Zhang
Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019). BMC Medical Informatics Decis. Mak. (4) (2020)
Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Pablo Rengifo-Moreno, Zhe He
DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction. IJCNN (2020)
Yu Lu, Xiao Luo, Zhan Zhang, Haoran Ding, Zhe He
Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations. AMIA (2020)
Qian Li, Yi Guo, Zhe He, Hansi Zhang, Thomas J. George, Jiang Bian
Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer's Disease and Donepezil. AMIA (2020)
Anusha Bompelli, Jianfu Li, Yiqi Xu, Nan Wang, Yanshan Wang, Terrence J. Adam, Zhe He, Rui Zhang
Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model. AMIA (2020)
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu
A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter. BMC Medical Informatics Decis. Mak. (4) (2020)
Ling Zheng, Zhe He, Duo Helen Wei, Vipina Kuttichi Keloth, Jung-Wei Fan, Luke Lindemann, Xinxin Zhu, James J. Cimino, Yehoshua Perl
A review of auditing techniques for the Unified Medical Language System. J. Am. Medical Informatics Assoc. 27 (10) (2020)
Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia C. F. Prosperi, Jinhai Huo, Jordan Alpert, Jiang Bian
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics Decis. Mak. (4) (2019)
Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang
Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements. CoRR (2019)
Zhan Zhang, Yu Lu, Caleb Wilson, Zhe He
Making Sense of Clinical Laboratory Results: An Analysis of Questions and Replies in a Social Q&A Community. MedInfo (2019)
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu
Identification of Cancer Survivors Living with PTSD on Social Media. MedInfo (2019)
François Modave, Yunpeng Zhao, Janice L. Krieger, Zhe He, Yi Guo, Jinhai Huo, Mattia C. F. Prosperi, Jiang Bian
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. CoRR (2019)
Qian Li, Zhe He, Yi Guo, Hansi Zhang, Thomas J. George, William R. Hogan, Neil Charness, Jiang Bian
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. AMIA (2019)
Vipina Kuttichi Keloth, Zhe He, Gai Elhanan, James Geller
Alternative classification of identical concepts in different terminologies: Different ways to view the world. J. Biomed. Informatics 94 (2019)
Lynette Hammond Gerido, Zhe He
Improving Patient Participation in Cancer Clinical Trials: A Qualitative Analysis of HSRProj & RePORTER. MedInfo (2019)
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu
Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media. SEPDA@ISWC (2019)
Canlin Zhang, Daniel Bis, Xiuwen Liu, Zhe He
Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. BMC Bioinform. (16) (2019)
Zhan Zhang, Caleb Wilson, Zhe He
Contextualizing Consumer Health Information Seeking. AMIA (2019)
François Modave, Yunpeng Zhao, Janice L. Krieger, Zhe He, Yi Guo, Jinhai Huo, Mattia C. F. Prosperi, Jiang Bian
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. MedInfo (2019)
Nur Hafieza Ismail, Mengnan Du, Diego Martinez, Zhe He
Multivariate Multi-step Deep Learning Time Series Approach in Forecasting Parkinson's Disease Future Severity Progression. BCB (2019)
Zhan Zhang, Yu Lu, Yubo Kou, Danny T. Y. Wu, Jina Huh-Yoo, Zhe He
Understanding Patient Information Needs About Their Clinical Laboratory Results: A Study of Social Q&A Site. MedInfo (2019)
Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He
Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. MedInfo (2019)
Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang
Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements. MedInfo (2019)
Zhe He, Laura A. Barrett, Rubina F. Rizvi, Seyedeh Neelufar Payrovnaziri, Rui Zhang
Exploring the Discrepancies in Actual and Perceived Benefits of Dietary Supplements Among Obese Patients. MedInfo (2019)
Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, Zhe He
Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. CoRR (2019)
Pei-Yau Lung, Zhe He, Tingting Zhao, Disa Yu, Jinfeng Zhang
Extracting chemical-protein interactions from literature using sentence structure analysis and feature engineering. Database J. Biol. Databases Curation 2019 (2019)
Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Zhe He
Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach. CoRR (2019)
Zhe He, Jiang Bian, Cui Tao, Rui Zhang
Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018). BMC Medical Informatics Decis. Mak. (4) (2019)
Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian
Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. 18 (S-2) (2018)
Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian
Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. 18 (1) (2018)
Zhe He, Vipina Kuttichi Keloth, Yan Chen, James Geller
Extended Analysis of Topological-Pattern-Based Ontology Enrichment. BIBM (2018)
Muhammad Amith, Zhe He, Jiang Bian, Juan Antonio Lossio-Ventura, Cui Tao
Assessing the practice of biomedical ontology evaluation: Gaps and opportunities. J. Biomed. Informatics 80 (2018)
Tianyong Hao, Raymond K. Wong, Zhe He, Haoran Xie, Tak-Lam Wong, Fu Lee Wang
Natural Language Processing Empowered Mobile Computing. Wirel. Commun. Mob. Comput. 2018 (2018)
Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia C. F. Prosperi, Jiang Bian
Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. BIBM (2018)
Lynette Hammond Gerido, Zhe He
Opportunities to Improve Methods for Increasing Participation in Cancer Clinical Trials. AMIA (2018)
Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Yi Guo, Zhe He, Xi Yang, Hansi Zhang, Jiang Bian
OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system. BMC Medical Informatics Decis. Mak. 18 (S-2) (2018)
Daniel Bis, Canlin Zhang, Xiuwen Liu, Zhe He
Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation. BIBM (2018)
Lynette Hammond Gerido, Zhe He
Patient-Centered Strategies to Increase Participation in Cancer Clinical Trials. ICHI (2018)
Zhe He, Cui Tao, Jiang Bian, Rui Zhang, Jingshan Huang
Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017). BMC Medical Informatics Decis. Mak. 18 (S-2) (2018)
Hansi Zhang, Zhe He, Xing He, Yi Guo, David R. Nelson, François Modave, Yonghui Wu, William R. Hogan, Mattia C. F. Prosperi, Jiang Bian
Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials. AMIA (2018)
Vipina Kuttichi Keloth, Zhe He, Yan Chen, James Geller
Leveraging Horizontal Density Differences between Ontologies to Identify Missing Child Concepts: A Proof of Concept. AMIA (2018)
Laura A. Barrett, Seyedeh Neelufar Payrovnaziri, Jiang Bian, Zhe He
Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. CoRR (2018)
Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian
An exploration of semantic relations in neural word embeddings using extrinsic knowledge. BIBM (2017)
Zhe He, Arturo Gonzalez-Izquierdo, Spiros C. Denaxas, Andrei Sura, Yi Guo, William R. Hogan, Elizabeth Shenkman, Jiang Bian
Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. AMIA (2017)
Biyang Yu, Lynette Hammond Gerido, Zhe He
Exploring text classification of social support in online health communities for people who are D/deaf and hard of hearing. ASIST (2017)
Biyang Yu, Zhe He
Exploratory textual analysis of consumer health languages for people who are D/deaf and hard of hearing. BIBM (2017)
Zhe He, Zhiwei Chen, Sarah Mixon, Jiang Bian
A Visual Analysis Tool of Qualitative Eligibility Criteria of Clinical Studies. AMIA (2017)
Zhe He, Aisha Langford
Comparative Analysis of Geriatric and Adult Drug Clinical Trials on ClinicalTrials.gov. MedInfo (2017)
Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Amanda Hicks, Yi Guo, Zhe He, Mirela Vasconcelos, Jiang Bian
Building an Obesity and Cancer Semantic Web Knowledge Base. AMIA (2017)
Lynette Hammond Gerido, Michelle M. Kazmer, Zhe He, Marcia A. Mardis
Emergent trends in research to increase participation of underrepresented populations in cancer clinical trials: A qualitative analysis of the HSRProj database. ASIST (2017)
Zhe He, Yehoshua Perl, Gai Elhanan, Yan Chen, James Geller, Jiang Bian
Auditing the assignments of top-level semantic types in the UMLS semantic network to UMLS concepts. BIBM (2017)
Zhe He, Yan Chen, James Geller
Perceiving the Usefulness of the National Cancer Institute Metathesaurus for Enriching NCIt with Topological Patterns. MedInfo (2017)
Tianyao Huo, Thomas J. George Jr., Yi Guo, Zhe He, Mattia C. F. Prosperi, François Modave, Jiang Bian
Explore Care Pathways of Colorectal Cancer Patients with Social Network Analysis. MedInfo (2017)
Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Yi Guo, Zhe He, Amanda Hicks, Jiang Bian
OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base. BIBM (2017)
Zhe He, Zhiwei Chen, Sanghee Oh, Jinghui Hou, Jiang Bian
Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach. J. Biomed. Informatics 69 (2017)
Jiang Bian, Andrei Sura, Gloria P. Lipori, Yi Guo, François Modave, Zhe He, Elizabeth Shenkman, William R. Hogan
Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network. AMIA (2017)
Zhe He, Neil Charness, Jiang Bian, William R. Hogan
Assessing the comorbidity gap between clinical studies and prevalence in elderly patient populations. BHI (2016)
Zhe He, Yan Chen, Sherri de Coronado, Katrina Piskorski, James Geller
Topological-Pattern-Based Recommendation of UMLS Concepts for National Cancer Institute Thesaurus. AMIA (2016)
Christopher Ochs, Zhe He, Ling Zheng, James Geller, Yehoshua Perl, George Hripcsak, Mark A. Musen
Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies. J. Biomed. Informatics 61 (2016)
Zhe He, Zhiwei Chen, Jiang Bian
Analysis of temporal constraints in qualitative eligibility criteria of cancer clinical studies. BIBM (2016)
Juan Antonio Lossio-Ventura, William R. Hogan, François Modave, Amanda Hicks, Josh Hanna, Yi Guo, Zhe He, Jiang Bian
Towards an obesity-cancer knowledge base: Biomedical entity identification and relation detection. BIBM (2016)
Zhe He, James Geller
Preliminary Analysis of Difficulty of Importing Pattern-Based Concepts into the National Cancer Institute Thesaurus. MIE (2016)
Julia Hoxha, Praveen Chandar Ravichandran, Zhe He, James J. Cimino, David A. Hanauer, Chunhua Weng
DREAM: Classification scheme for dialog acts in clinical research query mediation. J. Biomed. Informatics 59 (2016)
Zhe He, Zhiwei Chen, Thomas J. George, Gloria P. Lipori, Jiang Bian
Assessing the population representativeness of colorectal cancer treatment clinical trials. EMBC (2016)
Cilia E. Zayas, Zhe He, Jiawei Yuan, Mildred Maldonado-Molina, William R. Hogan, François Modave, Yi Guo, Jiang Bian
Examining Healthcare Utilization Patterns of Elderly and Middle-Aged Adults in the United States. FLAIRS Conference (2016)
Zhe He, Patrick B. Ryan, Julia Hoxha, Shuang Wang, Simona Carini, Ida Sim, Chunhua Weng
Multivariate analysis of the population representativeness of related clinical studies. J. Biomed. Informatics 60 (2016)
Zhe He, James Geller, Yan Chen
A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization. Artif. Intell. Medicine 64 (1) (2015)
Zhe He, Shuang Wang, Elhaam Borhanian, Chunhua Weng
Assessing the Collective Population Representativeness of Related Type 2 Diabetes Trials by Combining Public Data from ClinicalTrials.gov and NHANES. MedInfo (2015)
Zhe He, Simona Carini, Ida Sim, Chunhua Weng
Visual aggregate analysis of eligibility features of clinical trials. J. Biomed. Informatics 54 (2015)
Praveen Chandar Ravichandran, Anil Yaman, Julia Hoxha, Zhe He, Chunhua Weng
Similarity-Based Recommendation of New Concepts to a Terminology. AMIA (2015)
Zhe He, Praveen Chandar Ravichandran, Patrick B. Ryan, Chunhua Weng
Simulation-based Evaluation of the Generalizability Index for Study Traits. AMIA (2015)
Chunhua Weng, Anil Yaman, Kuo Lin, Zhe He
Trend and Network Analysis of Common Eligibility Features for Cancer Trials in ClinicalTrials.gov. ICSH (2014)
Zhe He, Simona Carini, Tianyong Hao, Ida Sim, Chunhua Weng
A Method for Analyzing Commonalities in Clinical Trial Target Populations. AMIA (2014)
Christopher Ochs, Zhe He, Yehoshua Perl, Sivaram Arabandi, Michael Halper, James Geller
Choosing the Granularity of Abstraction Networks for Orientation and Quality Assurance of the Sleep Domain Ontology. ICBO (2013)
Ankur Agrawal, Zhe He, Yehoshua Perl, Duo Helen Wei, Michael Halper, Gai Elhanan, Yan Chen
The readiness of SNOMED problem list concepts for meaningful use of electronic health records. Artif. Intell. Medicine 58 (2) (2013)
Zhe He, Christopher Ochs, Ankur Agrawal, Yehoshua Perl, Dimitris Zeginis, Konstantinos A. Tarabanis, Gai Elhanan, Michael Halper, Natasha F. Noy, James Geller
A Family-Based Framework for Supporting Quality Assurance of Biomedical Ontologies in BioPortal. AMIA (2013)
Zhe He, Christopher Ochs, Larisa N. Soldatova, Yehoshua Perl, Sivaram Arabandi, James Geller
Auditing Redundant Import in Reuse of a Top Level Ontology for the Drug Discovery Investigations Ontology. VDOS+DO@ICBO (2013)
James Geller, Zhe He, Yehoshua Perl, C. Paul Morrey, Julia Xu
Rule-based support system for multiple UMLS semantic type assignments. J. Biomed. Informatics 46 (1) (2013)
Zhe He, Michael Halper, Yehoshua Perl, Gai Elhanan
Clinical clarity versus terminological order: the readiness of SNOMED CT concept descriptors for primary care. MIX-HS (2012)
Huanying Gu, Gai Elhanan, Michael Halper, Zhe He
Questionable relationship triples in the UMLS. BHI (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhe He