Questionable relationship triples in the UMLS. - Huanying Gu; Gai Elhanan; Michael Halper; Zhe He 001 (BHI, 2012)

Clinical clarity versus terminological order: the readiness of SNOMED CT concept descriptors for primary care. - Zhe He 001; Michael Halper; Yehoshua Perl; Gai Elhanan (MIX-HS, 2012)

A Family-Based Framework for Supporting Quality Assurance of Biomedical Ontologies in BioPortal. - Zhe He 001; Christopher Ochs; Ankur Agrawal; Yehoshua Perl; Dimitris Zeginis; Konstantinos A. Tarabanis; Gai Elhanan; Michael Halper; Natasha F. Noy; James Geller (AMIA, 2013)

Auditing Redundant Import in Reuse of a Top Level Ontology for the Drug Discovery Investigations Ontology. - Zhe He 001; Christopher Ochs; Larisa N. Soldatova; Yehoshua Perl; Sivaram Arabandi; James Geller (VDOS+DO@ICBO, 2013)

Choosing the Granularity of Abstraction Networks for Orientation and Quality Assurance of the Sleep Domain Ontology. - Christopher Ochs; Zhe He 001; Yehoshua Perl; Sivaram Arabandi; Michael Halper; James Geller (ICBO, 2013)

The readiness of SNOMED problem list concepts for meaningful use of electronic health records. - Ankur Agrawal; Zhe He 001; Yehoshua Perl; Duo Helen Wei; Michael Halper; Gai Elhanan; Yan Chen 009 (Artif. Intell. Medicine, 2013)

Rule-based support system for multiple UMLS semantic type assignments. - James Geller; Zhe He 001; Yehoshua Perl; C. Paul Morrey; Julia Xu (J. Biomed. Informatics, 2013)

A Method for Analyzing Commonalities in Clinical Trial Target Populations. - Zhe He 001; Simona Carini; Tianyong Hao; Ida Sim; Chunhua Weng (AMIA, 2014)

Trend and Network Analysis of Common Eligibility Features for Cancer Trials in ClinicalTrials.gov. - Chunhua Weng; Anil Yaman; Kuo Lin; Zhe He 001 (ICSH, 2014)

Simulation-based Evaluation of the Generalizability Index for Study Traits. - Zhe He 001; Praveen Chandar Ravichandran; Patrick B. Ryan; Chunhua Weng (AMIA, 2015)

Similarity-Based Recommendation of New Concepts to a Terminology. - Praveen Chandar Ravichandran; Anil Yaman; Julia Hoxha; Zhe He 001; Chunhua Weng (AMIA, 2015)

Assessing the Collective Population Representativeness of Related Type 2 Diabetes Trials by Combining Public Data from ClinicalTrials.gov and NHANES. - Zhe He 001; Shuang Wang; Elhaam Borhanian; Chunhua Weng (MedInfo, 2015)

A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization. - Zhe He 001; James Geller; Yan Chen 009 (Artif. Intell. Medicine, 2015)

Visual aggregate analysis of eligibility features of clinical trials. - Zhe He 001; Simona Carini; Ida Sim; Chunhua Weng (J. Biomed. Informatics, 2015)

Topological-Pattern-Based Recommendation of UMLS Concepts for National Cancer Institute Thesaurus. - Zhe He 001; Yan Chen 009; Sherri de Coronado; Katrina Piskorski; James Geller (AMIA, 2016)

Assessing the comorbidity gap between clinical studies and prevalence in elderly patient populations. - Zhe He 001; Neil Charness; Jiang Bian 001; William R. Hogan (BHI, 2016)

Analysis of temporal constraints in qualitative eligibility criteria of cancer clinical studies. - Zhe He 001; Zhiwei Chen; Jiang Bian 001 (BIBM, 2016)

Towards an obesity-cancer knowledge base: Biomedical entity identification and relation detection. - Juan Antonio Lossio-Ventura; William R. Hogan; François Modave; Amanda Hicks; Josh Hanna; Yi Guo 005; Zhe He 001; Jiang Bian 001 (BIBM, 2016)

Assessing the population representativeness of colorectal cancer treatment clinical trials. - Zhe He 001; Zhiwei Chen; Thomas J. George; Gloria P. Lipori; Jiang Bian 001 (EMBC, 2016)

Examining Healthcare Utilization Patterns of Elderly and Middle-Aged Adults in the United States. - Cilia E. Zayas; Zhe He 001; Jiawei Yuan; Mildred Maldonado-Molina; William R. Hogan; François Modave; Yi Guo 005; Jiang Bian 001 (FLAIRS, 2016)

Preliminary Analysis of Difficulty of Importing Pattern-Based Concepts into the National Cancer Institute Thesaurus. - Zhe He 001; James Geller (MIE, 2016)

Multivariate analysis of the population representativeness of related clinical studies. - Zhe He 001; Patrick B. Ryan; Julia Hoxha; Shuang Wang; Simona Carini; Ida Sim; Chunhua Weng (J. Biomed. Informatics, 2016)

DREAM: Classification scheme for dialog acts in clinical research query mediation. - Julia Hoxha; Praveen Chandar Ravichandran; Zhe He 001; James J. Cimino; David A. Hanauer; Chunhua Weng (J. Biomed. Informatics, 2016)

Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies. - Christopher Ochs; Zhe He 001; Ling Zheng; James Geller; Yehoshua Perl; George Hripcsak; Mark A. Musen (J. Biomed. Informatics, 2016)

A Visual Analysis Tool of Qualitative Eligibility Criteria of Clinical Studies. - Zhe He 001; Zhiwei Chen; Sarah Mixon; Jiang Bian 001 (AMIA, 2017)

Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. - Zhe He 001; Arturo Gonzalez-Izquierdo; Spiros C. Denaxas; Andrei Sura; Yi Guo 005; William R. Hogan; Elizabeth Shenkman; Jiang Bian 001 (AMIA, 2017)

Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network. - Jiang Bian 001; Andrei Sura; Gloria P. Lipori; Yi Guo 005; François Modave; Zhe He 001; Elizabeth Shenkman; William R. Hogan (AMIA, 2017)

Building an Obesity and Cancer Semantic Web Knowledge Base. - Juan Antonio Lossio-Ventura; William R. Hogan; François Modave; Amanda Hicks; Yi Guo 005; Zhe He 001; Mirela Vasconcelos; Jiang Bian 001 (AMIA, 2017)

Emergent trends in research to increase participation of underrepresented populations in cancer clinical trials: A qualitative analysis of the HSRProj database. - Lynette Hammond Gerido; Michelle M. Kazmer; Zhe He 001; Marcia A. Mardis (ASIST, 2017)

Exploring text classification of social support in online health communities for people who are D/deaf and hard of hearing. - Biyang Yu; Lynette Hammond Gerido; Zhe He 001 (ASIST, 2017)

Auditing the assignments of top-level semantic types in the UMLS semantic network to UMLS concepts. - Zhe He 001; Yehoshua Perl; Gai Elhanan; Yan Chen 009; James Geller; Jiang Bian 001 (BIBM, 2017)

An exploration of semantic relations in neural word embeddings using extrinsic knowledge. - Zhiwei Chen; Zhe He 001; Xiuwen Liu; Jiang Bian 001 (BIBM, 2017)

OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base. - Juan Antonio Lossio-Ventura; William R. Hogan; François Modave; Yi Guo 005; Zhe He 001; Amanda Hicks; Jiang Bian 001 (BIBM, 2017)

Exploratory textual analysis of consumer health languages for people who are D/deaf and hard of hearing. - Biyang Yu; Zhe He 001 (BIBM, 2017)

Perceiving the Usefulness of the National Cancer Institute Metathesaurus for Enriching NCIt with Topological Patterns. - Zhe He 001; Yan Chen 009; James Geller (MedInfo, 2017)

Comparative Analysis of Geriatric and Adult Drug Clinical Trials on ClinicalTrials.gov. - Zhe He 001; Aisha Langford (MedInfo, 2017)

Explore Care Pathways of Colorectal Cancer Patients with Social Network Analysis. - Tianyao Huo; Thomas J. George Jr.; Yi Guo 005; Zhe He 001; Mattia Prosperi; François Modave; Jiang Bian 001 (MedInfo, 2017)

Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach. - Zhe He 001; Zhiwei Chen; Sanghee Oh; Jinghui Hou; Jiang Bian 001 (J. Biomed. Informatics, 2017)

Opportunities to Improve Methods for Increasing Participation in Cancer Clinical Trials. - Lynette Hammond Gerido; Zhe He 001 (AMIA, 2018)

Leveraging Horizontal Density Differences between Ontologies to Identify Missing Child Concepts: A Proof of Concept. - Vipina Kuttichi Keloth; Zhe He 001; Yan Chen 009; James Geller (AMIA, 2018)

Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials. - Hansi Zhang; Zhe He 001; Xing He 003; Yi Guo 005; David R. Nelson; François Modave; Yonghui Wu; William R. Hogan; Mattia Prosperi; Jiang Bian 001 (AMIA, 2018)

Extended Analysis of Topological-Pattern-Based Ontology Enrichment. - Zhe He 001; Vipina Kuttichi Keloth; Yan Chen 009; James Geller (BIBM, 2018)

Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation. - Daniel Bis; Canlin Zhang; Xiuwen Liu; Zhe He 001 (BIBM, 2018)

Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. - Xing He 003; Rui Zhang 028; Rubina F. Rizvi; Jake Vasilakes; Xi Yang 015; Yi Guo 005; Zhe He 001; Mattia Prosperi; Jiang Bian 001 (BIBM, 2018)

Patient-Centered Strategies to Increase Participation in Cancer Clinical Trials. - Lynette Hammond Gerido; Zhe He 001 (ICHI, 2018)

Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. - Laura A. Barrett; Seyedeh Neelufar Payrovnaziri; Jiang Bian 001; Zhe He 001 (CoRR, 2018)

Assessing the practice of biomedical ontology evaluation: Gaps and opportunities. - Muhammad Amith; Zhe He 001; Jiang Bian 001; Juan Antonio Lossio-Ventura; Cui Tao (J. Biomed. Informatics, 2018)

Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. - Zhiwei Chen; Zhe He 001; Xiuwen Liu; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2018)

Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. - Zhiwei Chen; Zhe He 001; Xiuwen Liu; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2018)

Introduction: selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017). - Zhe He 001; Cui Tao; Jiang Bian 001; Rui Zhang 028; Jingshan Huang (BMC Medical Informatics Decis. Mak., 2018)

OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system. - Juan Antonio Lossio-Ventura; William R. Hogan; François Modave; Yi Guo 005; Zhe He 001; Xi Yang 015; Hansi Zhang; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2018)

Natural Language Processing Empowered Mobile Computing. - Tianyong Hao; Raymond K. Wong 001; Zhe He 001; Haoran Xie 001; Tak-Lam Wong; Fu Lee Wang (Wirel. Commun. Mob. Comput., 2018)

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. - Qian Li 034; Zhe He 001; Yi Guo 005; Hansi Zhang; Thomas J. George; William R. Hogan; Neil Charness; Jiang Bian 001 (AMIA, 2019)

Contextualizing Consumer Health Information Seeking. - Zhan Zhang 008; Caleb Wilson; Zhe He 001 (AMIA, 2019)

Multivariate Multi-step Deep Learning Time Series Approach in Forecasting Parkinson's Disease Future Severity Progression. - Nur Hafieza Ismail; Mengnan Du; Diego Martinez; Zhe He 001 (BCB, 2019)

Exploring the Discrepancies in Actual and Perceived Benefits of Dietary Supplements Among Obese Patients. - Zhe He 001; Laura A. Barrett; Rubina F. Rizvi; Seyedeh Neelufar Payrovnaziri; Rui Zhang 028 (MedInfo, 2019)

Improving Patient Participation in Cancer Clinical Trials: A Qualitative Analysis of HSRProj & RePORTER. - Lynette Hammond Gerido; Zhe He 001 (MedInfo, 2019)

Identification of Cancer Survivors Living with PTSD on Social Media. - Nur Hafieza Ismail; Ninghao Liu; Mengnan Du; Zhe He 001; Xia Hu 001 (MedInfo, 2019)

Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. - François Modave; Yunpeng Zhao; Janice L. Krieger; Zhe He 001; Yi Guo 005; Jinhai Huo; Mattia Prosperi; Jiang Bian 001 (MedInfo, 2019)

Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. - Seyedeh Neelufar Payrovnaziri; Laura A. Barrett; Daniel Bis; Jiang Bian 001; Zhe He 001 (MedInfo, 2019)

Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements. - Rubina F. Rizvi; Yefeng Wang; Thao Nguyen; Jake Vasilakes; Jiang Bian 001; Zhe He 001; Rui Zhang 028 (MedInfo, 2019)

Understanding Patient Information Needs About Their Clinical Laboratory Results: A Study of Social Q&A Site. - Zhan Zhang 008; Yu Lu; Yubo Kou; Danny T. Y. Wu; Jina Huh-Yoo; Zhe He 001 (MedInfo, 2019)

Making Sense of Clinical Laboratory Results: An Analysis of Questions and Replies in a Social Q&A Community. - Zhan Zhang 008; Yu Lu; Caleb Wilson; Zhe He 001 (MedInfo, 2019)

Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media. - Nur Hafieza Ismail; Ninghao Liu; Mengnan Du; Zhe He 001; Xia Hu 001 (SEPDA@ISWC, 2019)

Extracting chemical-protein interactions from literature using sentence structure analysis and feature engineering. - Pei-Yau Lung; Zhe He 001; Tingting Zhao; Disa Yu; Jinfeng Zhang (Database J. Biol. Databases Curation, 2019)

Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. - Canlin Zhang; Daniel Bis; Xiuwen Liu; Zhe He 001 (BMC Bioinform., 2019)

Interpretable Deep Neural Networks for Patient Mortality Prediction: A Consensus-based Approach. - Shaeke Salman; Seyedeh Neelufar Payrovnaziri; Xiuwen Liu; Zhe He 001 (CoRR, 2019)

Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements. - Rubina F. Rizvi; Yefeng Wang; Thao Nguyen; Jake Vasilakes; Jiang Bian 001; Zhe He 001; Rui Zhang 028 (CoRR, 2019)

Alternative classification of identical concepts in different terminologies: Different ways to view the world. - Vipina Kuttichi Keloth; Zhe He 001; Gai Elhanan; James Geller (J. Biomed. Informatics, 2019)

Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018). - Zhe He 001; Jiang Bian 001; Cui Tao; Rui Zhang 028 (BMC Medical Informatics Decis. Mak., 2019)

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. - Xing He 003; Rui Zhang 028; Rubina F. Rizvi; Jake Vasilakes; Xi Yang 015; Yi Guo 005; Zhe He 001; Mattia Prosperi; Jinhai Huo; Jordan Alpert; Jiang Bian 001 (BMC Medical Informatics Decis. Mak., 2019)

Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model. - Anusha Bompelli; Jianfu Li; Yiqi Xu; Nan Wang; Yanshan Wang; Terrence J. Adam; Zhe He 001; Rui Zhang 028 (AMIA, 2020)

Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer's Disease and Donepezil. - Qian Li 034; Yi Guo 005; Zhe He 001; Hansi Zhang; Thomas J. George; Jiang Bian 001 (AMIA, 2020)

Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations. - Yu Lu; Xiao Luo 002; Zhan Zhang 008; Haoran Ding; Zhe He 001 (AMIA, 2020)

Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site. - Xiao Luo 002; Haoran Ding; Matthew Tang; Priyanka Gandhi; Zhan Zhang 008; Zhe He 001 (BIBM, 2020)

DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction. - Shaeke Salman; Seyedeh Neelufar Payrovnaziri; Xiuwen Liu; Pablo Rengifo-Moreno; Zhe He 001 (IJCNN, 2020)

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. - Seyedeh Neelufar Payrovnaziri; Zhaoyi Chen; Pablo Rengifo-Moreno; Tim Miller 001; Jiang Bian 001; Jonathan H. Chen; Xiuwen Liu; Zhe He 001 (J. Am. Medical Informatics Assoc., 2020)

A review of auditing techniques for the Unified Medical Language System. - Ling Zheng; Zhe He 001; Duo Helen Wei; Vipina Kuttichi Keloth; Jungwei Fan 001; Luke Lindemann; Xinxin Zhu; James J. Cimino; Yehoshua Perl (J. Am. Medical Informatics Assoc., 2020)

Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019). - Zhe He 001; Cui Tao; Jiang Bian 001; Rui Zhang 028 (BMC Medical Informatics Decis. Mak., 2020)

A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter. - Nur Hafieza Ismail; Ninghao Liu; Mengnan Du; Zhe He 001; Xia Hu 001 (BMC Medical Informatics Decis. Mak., 2020)

Assessing the Use of Prescription Drugs in Obese Respondents in the National Health and Nutrition Examination Survey. - Laura A. Barrett; Aiwen Xing; Elizabeth Steidley; Terrence J. Adam; Rui Zhang 028; Zhe He 001 (AMIA, 2021)

Transformer-based named entity recognition for parsing clinical trial eligibility criteria. - Shubo Tian; Arslan Erdengasileng; Xi Yang 015; Yi Guo 005; Yonghui Wu; Jinfeng Zhang; Jiang Bian 001; Zhe He 001 (BCB, 2021)

Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models. - Sicheng Zhou; Dalton Schutte; Aiwen Xing; Jiyang Chen; Julian Wolfson; Zhe He 001; Fang Yu 005; Rui Zhang 028 (ICHI, 2021)

Pregnancy-Related Information Seeking in Online Health Communities: A Qualitative Study. - Yu Lu; Zhan Zhang 008; Katherine Min; Xiao Luo 002; Zhe He 001 (iConference (2), 2021)

How do mothers exchange parenting-related information in online communities? A meta-synthesis. - Juan Xie; Zhe He 001; Gary Burnett; Ying Cheng 002 (Comput. Hum. Behav., 2021)

Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease. - Zhaoyi Chen; Hansi Zhang; Yi Guo 005; Thomas J. George; Mattia Prosperi; William R. Hogan; Zhe He 001; Elizabeth A. Shenkman; Fei Wang 001; Jiang Bian 001 (npj Digit. Medicine, 2021)

Using Twitter Data Analysis to Understand the Perceptions, Awareness, and Barriers to the Wide Use of Pre-Exposure Prophylaxis in the United States. - Arslan Erdengasileng; Shubo Tian; Sara S. Green; Sylvie Naar; Zhe He 001 (BIBM, 2022)

Classifying Drug Ratings Using User Reviews with Transformer-Based Language Models. - Akhil Shiju; Zhe He 001 (ICHI, 2022)

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records. - Zhe He 001; Shubo Tian; Arslan Erdengasileng; Neil Charness; Jiang Bian 001 (CoRR, 2022)

A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training. - Zhe He 001; Shubo Tian; Ankita Singh; Shayok Chakraborty; Shenghao Zhang; Mia Liza A. Lustria; Neil Charness; Nelson A. Roque; Erin Harrell; Walter R. Boot (Inf. Process. Manag., 2022)

Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. - Qizhang Feng; Jiayi Yuan 001; Forhan Bin Emdad; Karim Hanna; Xia Hu 001; Zhe He 001 (BCB, 2023)

Building Prediction Models for 30-Day Readmissions Among ICU Patients Using Both Structured and Unstructured Data in Electronic Health Records. - Alex Moerschbacher; Zhe He 001 (BIBM, 2023)

Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model. - Shubo Tian; Pengfei Yin; Hansi Zhang; Arslan Erdengasileng; Jiang Bian 001; Zhe He 001 (BIBM, 2023)

Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model. - Neel Bhate; Ansh Mittal; Zhe He 001; Xiao Luo 002 (IEEE Big Data, 2023)

Benchmarking Transformer-Based Models for Identifying Social Determinants of Health in Clinical Notes. - Xiaoyu Wang; Dipankar Gupta; Michael O. Killian; Zhe He 001 (ICHI, 2023)

Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. - Gregor Stiglic; Leon Kopitar; Lucija Gosak; Primoz Kocbek; Zhe He 001; Prithwish Chakraborty; Pablo Meyer 001; Jiang Bian 001 (CoRR, 2023)

Editorial: Explainable artificial intelligence for critical healthcare applications. - Zhe He 001; Rui Zhang 028; Gayo Diallo; Zhengxing Huang; Benjamin S. Glicksberg (Frontiers Artif. Intell., 2023)

Predicting HIV Diagnosis Among Emerging Adults Using Electronic Health Records and Health Survey Data in All of Us Research Program. - Balu Bhasuran; Yiyang Liu; Mattia Prosperi; Karen MacDonell; Sylvie Naar; Zhe He 001 (BIBM, 2024)

Enhancing patient Comprehension: An effective sequential prompting approach to simplifying EHRs using LLMs. - Mahshad Koohi H. Dehkordi; Shuxin Zhou; Yehoshua Perl; Fadi P. Deek; Andrew J. Einstein; Gai Elhanan; Zhe He 001; Hao Liu 025 (BIBM, 2024)

Preface; CHASE 2024. - Insup Lee 001; Weisong Shi; Zhe He 001; Ye Sun (CHASE, 2024)

Message from the General Chairs; ICHI 2024. - Zhe He 001; Yi Guo 005; Jiang Bian 001 (ICHI, 2024)

Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study. - Zhe He 001; Balu Bhasuran; Qiao Jin 001; Shubo Tian; Karim Hanna; Cindy Shavor; Lisbeth Y. Garcia Arguello; Patrick Murray; Zhiyong Lu (CoRR, 2024)

AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning. - Qiao Jin 001; Zhizheng Wang; Yifan Yang 006; Qingqing Zhu; Donald Wright; Thomas Huang 003; W. John Wilbur; Zhe He 001; Andrew Taylor; Qingyu Chen 001; Zhiyong Lu (CoRR, 2024)

Time Matters: Examine Temporal Effects on Biomedical Language Models. - Weisi Liu; Zhe He 001; Xiaolei Huang 002 (CoRR, 2024)

Lab-AI - Retrieval-Augmented Language Model for Personalized Lab Test Interpretation in Clinical Medicine. - Xiaoyu Wang; Haoyong Ouyang; Balu Bhasuran; Xiao Luo 002; Karim Hanna; Mia Liza A. Lustria; Zhe He 001 (CoRR, 2024)

Demystifying Large Language Models for Medicine: A Primer. - Qiao Jin 001; Nicholas Wan; Robert Leaman; Shubo Tian; Zhizheng Wang; Yifan Yang 006; Zifeng Wang 008; Guangzhi Xiong; Po-Ting Lai; Qingqing Zhu; Benjamin Hou; Maame Sarfo-Gyamfi; et al. (CoRR, 2024)

Evaluating the Impact of Lab Test Results on Large Language Models Generated Differential Diagnoses from Clinical Case Vignettes. - Balu Bhasuran; Qiao Jin 001; Yuzhang Xie; Carl Yang 001; Karim Hanna; Jennifer Costa; Cindy Shavor; Zhiyong Lu; Zhe He 001 (CoRR, 2024)

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. - Shaika Chowdhury; Yongbin Chen; Pengyang Li; Sivaraman Rajaganapathy; Andrew Wen; Xiao Ma 019; Qiying Dai; Yue Yu; Sunyang Fu; Xiaoqian Jiang; Zhe He 001; Sunghwan Sohn; et al. (J. Am. Medical Informatics Assoc., 2024)

Lab-Ai: Using Retrieval Augmentation to Enhance Language Models for Personalized Lab Test Interpretation in Clinical Medicine. - Xiaoyu Wang; Haoyong Ouyang; Balu Bhasuran; Xiao Luo 002; Karim Hanna; Mia Liza A. Lustria; Zhe He 001 (ICHI, 2025)

Ontology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement. - Navya Martin Kollapally; James Geller; Vipina Kuttichi Keloth; Zhe He 001; Julia Xu (J. Biomed. Informatics, 2025)

Preliminary analysis of the impact of lab results on large language model generated differential diagnoses. - Balu Bhasuran; Qiao Jin 001; Yuzhang Xie; Carl Yang 001; Karim Hanna; Jennifer Costa; Cindy Shavor; Wenshan Han; Zhiyong Lu; Zhe He 001 (npj Digit. Medicine, 2025)

A Scoping Review of Synthetic Data Generation for Biomedical Research and Applications. - Hanshu Rao; Weisi Liu; Haohan Wang; I-Chan Huang; Zhe He 001; Xiaolei Huang 002 (CoRR, 2025)