Publications

Edited Book

  1. Jiang Bian, Yi Guo, Zhe He, and Xia Hu. Social Web and Health Research – Benefits, Limitations and Best Practice. Springer International Publishing AG. 2019. Print ISBN: 978-3-030-14713-6. Online ISBN: 978-3-030-14714-3. DOI: 10.1007/978-3-030-14714-3 [Link]

Book Chapter

  1. Zhe He. Understanding and Bridging the Language and Terminology Gap between Health Professionals and Consumers Using Social Media. Social Web and Health Research: Benefits, Limitations, and Best Practices. In: Bian J., Guo Y., He Z., Hu X. (eds) Social Web and Health Research. Springer, Cham. 2019. pp. 103-121. DOI: 10.1007/978-3-030-14714-3_6. [Link]

Refereed Journal Articles

  1. Yuanying Pang, Ankita Singh, Shayok Chakraborty, Neil Charness, Walter R. Boot, Zhe He. Predicting Adherence to Gamified Cognitive Training Using Early Phase Game Performance Data: Towards a Just-In-Time Adherence Promotion Strategy. PLOS ONE. 2024. In press.

  2. Wenshan Han, Zheng Wang,  Mengli Xiao, Zhe He, Haitao Chu, Lifeng Lin. Tipping point analyses for the between-arm correlation in an arm-based evidence synthesis. BMC Medical Research Methodology. 2024: 24, 162. DOI: https://doi.org/10.1186/s12874-024-02263-w. [Link]

  3. Ankita Singh, Shayok Chakraborty, Zhe He, Yuanying Pang, Shenghao Zhang, Ronast Subedi, Mia Liza A. Lustria, Neil Charness, Walter R. Boot. Predicting Adherence to Computer-based Cognitive Training Programs among Older Adults: Study of Domain Adaptation and Deep Learning. JMIR Aging. 2024. 2024;7:e53793. DOI: 10.2196/53793. PMID: 39283346. {Link]

  4. Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J Bielinski, Alanna Chamberlain, James Cerhan, Nansu Zong. Stratifying Heart Failure Patients with Graph Neural Network and Transformer using EHR to Optimize Drug Response Prediction. Journal of the American Medical Informatics Association.  2024;31(8): 1671-1681. [Link]

  5. Zhe He, Balu Bhasuran, Qiao Jin, Shubo Tian, Karim Hanna, Cindy Shavor, Lisbeth Garcia Arguello, Patrick Murray, Zhiyong Lu. Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study. Journal of Medical Internet Research. 2024;26:e56655. doi: 10.2196/56655. PMID: 38630520 [Link]

  6. Shenghao Zhang,  Michael Dieciuc, Andrew Dilanchian, Mia Liza A. Lustria, Dawn Carr, Neil Charness, Zhe He, Walter Boot. Adherence Promotion with Tailored Motivational Messages: Proof of Concept and Message Preferences in Older Adults. Gerontology and Geriatric Medicine.  In press.

  7. Lynette Hammond Gerido, Kenneth Resnicow, Elena Marinez Stoffel, Robert Cook-Deegan, Melissa Cline, Amy Coffin, Jill Holdren, Mary Anderlik Majumder, Zhe He. Big Advocacy, Little Recognition: The Hidden Work of Black Patients in Precision Medicine. Journal of Community Genetics. 2023. [Link]

  11. Ankita Singh, Shayok Chakraborty, Zhe He, Shubo Tian, Shenghao Zhang, Mia Liza A. Lustria, Neil Charness, Nelson A Roque, Erin R Harrell, Walter R Boot. Deep Learning-based Predictions of Older Adults’ Adherence to Cognitive Training to Support Training Efficacy. Frontiers in Psychology. 2022. In press. (Impact Factor: 4.232) [Link]

  12. Zhe He, Shubo Tian, Ankita Singh, Shayok Chakraborty, Shenghao Zhang, Mia Liza A. Lustria, Neil Charness, Nelson Roque, Erin Harrell, Walter R. Boot. A Machine-Learning Based Approach for Predicting Older Adults’ Adherence to Technology-Based Cognitive Training. Information Processing and Management. 2022; 59(5): 103034. (Impact Factor: 7.47) [Link]

  13. 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. BMC Medical Informatics and Decision Making. 2022. In press. (Impact Factor 3.298)

  14. Laura A. Barrett, Aiwen Xing, Elizabeth Steidley, Terrance Adam, Rui Zhang, and Zhe He. Assessing the use of prescription drugs and dietary supplements in obese respondents in the National Health and Nutrition Examination Survey. PLOS One. 2022; 17(6): e0269241.(Impact Factor: 3.24) [Link]

  15. Dawn Carr, Shubo Tian, Zhe He, Shayok Chakroborty, Michael Dieciuc, Nicolas Gray, Maedeh Agharazidermani, Mia Liza Lustria, Andrew Dilanchian, Shenghao Zhang, Neil Charness, Antonio Terracciano, Walter Boot, Motivation to Engage in Aging Research: Are There Typologies and Predictors? The Gerontologist. DOI: 10.1093/geront/gnac035. In press. (Impact factor: 5.271) [Link]

  16. Yu Lu, Laura A. Barrett, Rebecca Lin, Muhammad Amith, Cui Tao, and Zhe He. Understanding Information Needs and Barriers to Accessing Health Information Across All Stages of Pregnancy: A Systematic Review. JMIR Pediatrics and Parenting. 2022;5(1):e32235. doi: 10.2196/32235. PMID: 35188477 [JMIR]

  17. Zhan Zhang, Lukas Kmoth, Xiao Luo, and Zhe He. User-Centered System Design for Communicating Clinical Laboratory Test Results: Design and Evaluation Study. JMIR Human Factors. 2021; 8(4): e26017. (Acceptance rate: 25%) [JMIR]

  18. Zhe He, Arslan Erdengarsileng, Aiwen Xing, Xiao Luo, Neil Charness, Jiang Bian. How the clinical research community responded to the COVID-19 pandemic: An analysis of the COVID-19 clinical studies in ClinicalTrials.gov. JAMIA Open. 2021; 4(2): ooab032. PMID: 34056559. PMCID: PMC8083215 [medRxiv] [JAMIA] [PMC]

  19. Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J George Jr, Mattia Prosperi, William Hogan, Zhe He, Elizabeth Shenkman, Fei Wang, and 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 Digital Medicine. 2021; 4(1): 84. PMID: 33990663. PMCID: PMC8121837 [Link] [PMC]

  20. Michael O. Killian, Seyedeh Neelufar Payrovnaziri, Dipankar Gupta, Dev Desai, and Zhe He. Machine learning-based prediction of re-hospitalization in pediatric organ transplantation recipients. JAMIA Open. 2021; 4(1): 1-10. [Link] (Erratum for the deep learning model performance pending)

  21. Juan Xie*, Zhe He, Gary Burnett, and Ying Cheng. How do mothers exchange parenting-related information in online communities? A meta-synthesis. Computers in Human Behavior. 2021; 115: 105531 (SSCI, Impact Factor: 5.003) [Free Access Link (till Jan 8, 2021)]Zhan Zhang, Daniel Citardi, Aiwen Xing, Xiao Luo, Yu Lu, and Zhe He. Patients’ Challenges and Needs in Comprehending Lab Test Results: A Mixed-Methods Study. Journal of Medical Internet Research. 2020; 22(12). e18725(SCIE, Impact Factor: 5.03) [Link]

  22. Jinchan Qu, Albert Steppi, Dongrui Zhong, Jie Hao, Jian Wang, Pei-Yau Lung, Tingting Zhao, Zhe He, and Jinfeng Zhang. Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach. BMC Genomics. 2020; 21; 773. PMID: 33167858. PMCID: PMC7654050. (SCIE, Impact Factor 3.594) [Link]

  23. Nur Hafieza Ismail, Mengnan Du, Ninghao Liu, Xia Hu, and Zhe He. A Deep Learning Approach for Identifying Cancer Survivors Living with Post-Traumatic Stress Disorder on Twitter. BMC Medical Informatics & Decision Making. 2020; 20 (suppl 4): 254. (SCIE, Impact Factor 2.317) [Link]

  24. Juan Xie, Shi Xie, Ying Cheng, Zhe He. Beliefs and Information Seeking in Patients With Cancer in Southwest China: Survey Study. JMIR Cancer. 2020;6(2):e16138. DOI: 10.2196/16138. PMID: 32821061 [Link]

  25. Ling Zheng†, Zhe He†, Duo Wei, Vipina Keloth, Jung-Wei Fan, Luke Lindemann, Xinxin Zhu, James Cimino, and Yehoshua Perl. A review of auditing techniques for the Unified Medical Language System. Journal of the American Medical Informatics Association. 2020. In press. (Ling Zheng and Zhe He are equal-contribution first authors, SCI, Impact Factor: 4.11) [Free Access Link]

  26. Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo-Moreno, Tim Miller, Jiang Bian, Jonathan H. Chen, Xiuwen Liu, and Zhe He. Explainable artificial intelligence models using real-world electronic health record Data: a systematic scoping review. Journal of the American Medical Informatics Association. PMID: 32417928. In press. (SCI, Impact Factor: 4.29) [Free Access Link] [PubMed]

  27. Biyang Yu†, Zhe He†, Aiwen Xing, and Mia Liza Lustria. An Informatics Framework to Assess Consumer Health Language Complexity Differences: Proof-of-Concept Study. Journal of Medical Internet Research. 2020;22(5):e16795. (SCIE, Impact Factor: 4.945) [Link]

  28. Zhe He, *Xiang Tang, *Kelsa Bartley, Xi Yang, Yi Guo, Thomas J. George, Neil Charness, William Hogan, Jiang Bian. Clinical Trial Generalizability Assessment in the Big Data Era: A Review. Clinical and Translational Science. 2020; 13(4): 675-684. DOI: 10.1111/cts.12764. PMID: 32058639. (SCIE, Impact Factor: 3.373) [Link] [PubMed] [Dataset Publication]

  29. Zhe He, Wallace M Douglas, Michael Perlis, Andrea Barnes, Xiang Tang, Girardin Jean-Louis, and Natasha Williams. Reporting results in U.S. clinical trials for obstructive sleep apnea and insomnia: how transparent are they? Sleep Health. 2020 Mar 13. pii: S2352-7218(19)30260-8. doi: 10.1016/j.sleh.2019.11.009. PMID: 32179065 [PubMed] [Link]

  30. *Canlin Zhang†, *Daniel Biś†, Xiuwen Liu, and Zhe He. Biomedical Word Sense Disambiguation with Bidirectional Long Short-Term Memory and Attention-based Neural Networks. BMC Bioinformatics. 2019; 20: 502. (SCIE, Impact Factor: 2.511) [Link]

  31. Lynette Hammond Gerido, Xiang Tang, Brittany Ernst, Aisha Langford, and Zhe He. Patient Engagement in Medical Research among Older Adults: Analysis of the Health Information National Trends Survey. Journal of Medical Internet Research. 2019;21(10):e16222. PMID: 31663860 (SCIE, Impact Factor: 4.945) [Link] [PubMed]

  32. Canlin Zhang*, Daniel Biś*, Xiuwen Liu, and Zhe He, Biomedical Word Sense Disambiguation with Bidirectional Long Short-Term Memory and Attention-based Neural Networks. BMC Bioinformatics. In press.

  33. Xing He, Rui Zhang, Rubina Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia 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 and Decision Making. 2019; 19 (Suppl 4): 150. DOI: 10.1186/s12911-019-0857-1 (SCIE, Impact Factor: 2.06) [Link]

  34. Vipina K. Keloth*, Zhe He, Gai Elhanan, and James Geller. Alternative Classification of Identical Concepts in Different Terminologies: Different Ways to View the World. Journal of Biomedical Informatics. 2019; 94. 103193. PMID: 31048072. DOI: 10.1016/j.jbi.2019.103193. (Impact Factor: 2.88, 5-Year Impact Factor: 3.12) [PubMed] [Link]

  35. Pei-Yau Lung*, Zhe He, Tingting Zhao, Disa Yu*, and Jinfeng Zhang. Extracting chemical-protein interactions from literature using sentence structure analysis and feature engineering. Database: The Journal of Biological Databases and Curation. 2019. 2019:1-8 (SCIE, Impact Factor: 3.98) [Link]

  36. *Zhiwei Chen†, Zhe He†, Xiuwen Liu, and Jiang Bian. Evaluating semantic relations in neural word embeddings using biomedical and open domain knowledge bases. BMC Medical Informatics and Decision Making. 2018. 18 (Suppl 2) :65. DOI: 10.1186/s12911-018-0630-x (SCIE, Impact Factor: 2.13) [Link]

  37. Juan Antonio Lossio-Ventura, William Hogan, François Modave, Yi Guo, Zhe He, Xi Yang, Hansi Zhang, and Jiang Bian. OC-2-KB: Integration crowdsourcing into an obesity and cancer knowledge base curation system. BMC Medical Informatics and Decision Making. 2018. 2018. 18 (Suppl 2) :55. DOI: 10.1186/s12911-018-0635-5 (SCIE, Impact Factor: 2.13) [Link]

  38. Huanying Gu, Zhe He, Duo Wei, Gai Elhanan and Yan Chen. Validating UMLS Semantic Type Assignments Using SNOMED CT Semantic Tags. Methods of Information in Medicine. 2018; 57(1): 43-53. DOI: 10.3414/ME17-01-0120. PMID: 29621830. (SCI, Impact Factor: 1.53) [Link] [PubMed]

  39. Zhe He, Jiang Bian, Henry Carretta, *Jiwon Lee, William Hogan, Elizabeth Shenkman, and Neil Charness. Prevalence of Multiple Chronic Conditions Among Older Adults in Florida and the United States: Comparative Analysis of the OneFlorida Data Trust and National Inpatient Sample. Journal of Medical Internet Research. 2018; 20(4): e137. DOI: 10.2196/jmir.8961. PMID: 29650502. (SCIE, Impact Factor: 4.67) [Link] [PubMed] [PMC]

  40. Muhammad F. Amith†, Zhe He†, Jiang Bian, Juan Antonio Lossio-Ventura, and Cui Tao. Assessing the practice of biomedical ontology evaluation: Gaps and opportunities. Journal of Biomedical Informatics. 2018;80:1-13. DOI: 10.1016/j.jbi.2018.02.010. PMID: 29462669. (†: equal-contribution first authors, SCI, Impact Factor: 2.88, 5-Year Impact Factor: 3.12) [FSU CCI News] [ScienceDirect] [PubMed] [PDF]

  41. Jiang Bian, Yunpeng Zhao, Ramzi G Salloum, Yi Guo, Mo Wang, Mattia Prosperi, Hansi Zhang, Xinsong Du, Laura J Ramirez-Diaz, Zhe He, Yuan Sun. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch syndrome. Journal of Medical Internet Research. 2017;19(12):e414. DOI: 10.2196/jmir.9266. PMID: 29237586. (SCIE, Impact Factor: 4.67) [Link] [PubMed] [PMC]

  42. Zhe He, *Zhiwei Chen, Sanghee Oh, Jinghui Hou, and Jiang Bian. Enriching consumer health vocabulary through mining a social Q&A site: a similarity-based approach. Journal of Biomedical Informatics. 2017;69:75-85. DOI: 10.1016/j.jbi.2017.03.016. PMID: 28359728 (SCI, Impact Factor: 2.88, 5-Year Impact Factor: 3.12) [PubMed] [ScienceDirect] [PDF]

  43. *Min Sook Park†, Zhe He†, *Zhiwei Chen, Sanghee Oh, and Jiang Bian. Consumer’s Use of UMLS Concepts on Social Media: Diabetes-Related Textual Data Analysis in Blog and Social Q&A Sites. JMIR Medical Informatics. 2016; 4(4):e41. DOI: 10.2196/medinform.5748. PMID: 27884812 (Park and He are equal-contribution first authors) (ESCI) [JMIR] [PubMed] [PMC] [PDF]

  44. Jiang Bian, Kenji Yoshigoe, Amanda Hicks, Jiawei Yuan, Zhe He, Mengjun Xie, Yi Guo, Mattia Prosperi, and François Modave. Mining Twitter to assess the public perception of the “Internet of things”. PLoS ONE. 2016;11(7): e0158450. DOI: 10.1371/journal.pone.0158450. PMID: 27391760 (SCI, Impact Factor: 2.77) [PLoS ONE] [PubMed] [PMC] [PDF]

  45. Christopher Ochs, Zhe He, Ling Zheng, James Geller, Yehoshua Perl, George Hripcsak, and Mark Musen. Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies. Journal of Biomedical Informatics. 2016;61:63-76. DOI: 10.1016/j.jbi.2016.03.007. PMID: 26988001(SCI, Impact Factor: 2.88, 5-Year Impact Factor: 3.12) [ScienceDirect] [PubMed] [PMC] [PDF]

Editorial Articles

  1. Zhe He, Rui Zhang, Gayo Diallo, Zhengxing Huang, and Benjamin S. Glicksberg. Editorial: Explainable artificial intelligence for critical healthcare applications. Frontiers in Artificial Intelligence. 6:1282800. doi: 10.3389/frai.2023.1282800

  2. Zhe He,  Cui Tao, Jiang Bian,  and Rui Zhang.  Selected articles from the Fourth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019). BMC Medical Informatics and Decision Making. 2020. 20 (Suppl 4): 315. [Link] (Editorial of the journal supplement)

  3. Zhe He, Jiang Bian, Cui Tao, and Rui Zhang. Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018). BMC Medical Informatics and Decision Making. 2019. 19 (Suppl 4):148. DOI: 10.1186/s12911-019-0855-3. (SCIE, Impact Factor: 2.06) [Link] (Editorial of the journal supplement)

  4. Tianyong Hao, Raymond Wong, Zhe He, Haoran Xie, Tak-Lam Wong, and Fu Lee Wang. Natural Language Processing Empowered Mobile Computing. Wireless Communication and Mobile Computing. 2018. 2018: 1-2. DOI: 10.1155/2018/9130545. (Editorial of the special issue) [Link]

  5. 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 and Decision Making. 2018. 18 (Suppl 2):56. DOI: 10.1186/s12911-018-0624-8. PMID: 30066636. (SCIE, Impact Factor: 2.06) [Link] [PubMed] (Editorial of the journal supplement)

  6. Zhe He, Cui Tao, Jiang Bian, Michel Dumontier, and William Hogan. Semantics-Powered Healthcare Engineering and Data Analytics. Journal of Healthcare Engineering. 2017. DOI: https://doi.org/10.1155/2017/7983473. PMID: 29214005 (SCIE, Impact Factor: 1.295) [Link] [PubMed] [PMC] (Editorial of the Special Issue)

Refereed Proceedings Papers

  1. Weisi Liu, Zhe He, Xiaolei Huang, Time Matters: Examine Temporal Effects on Biomedical Language Models. AMIA 2024 Annual Symposium. In press.

  2. Wenshan Han, Balu Bhasuran, Victorine Muse, Søren Brunak, Lifeng Lin, Karim Hanna, Yu Huang, Jiang Bian, Zhe He.  Assessing the Seasonality of Lab Tests Among Patients with Alzheimer’s Disease and Related Dementias in OneFlorida Data Trust. AMIA 2024 Annual Symposium. In press. [preprint on medRxiv]

  3. Shubo Tian, Pengfei Yin, Hansi Zhang, Arslan Erdengasileng, Jiang Bian and Zhe He. Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model.  2023 IEEE International Conference of Bioinformatics and Biomedicine (BIBM 2023). December 5-8, 2023. Istanbul, Turkey.  2023. pp. 4426-4430.  DOI: 10.1109/BIBM58861.2023.10385876 [medRxiv] [Link]

  4. Alex Moerschbacher and Zhe He. Building Prediction Models for 30-Day Readmissions Among ICU Patients Using Both Structured and Unstructured Data in Electronic Health Records. 2023 IEEE International Conference of Bioinformatics and Biomedicine (BIBM 2023). December 5-8, 2023. Istanbul, Turkey.  pp. 4368-4373. DOI: 10.1109/BIBM58861.2023.10385612 [medRxiv] [Link]

  5. Zhe He, Shubo Tian, Arslan Erdengsileng, Karim Hanna, Yang Gong, Xiao Luo, Zhan Zhang, Mia Liza A. Lustria. Annotation and Information Extraction of Consumer-Friendly Health Articles for Enhancing Laboratory Test Reporting. AMIA 2023 Annual Symposium. 2024 Jan 11;2023:407-416. PMID: 38222337; PMCID: PMC10785897. [Link]

  6. Neel Jitesh 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. 2023 IEEE International Conference on Big Data (IEEE Big Data 2023). 2023. pp. 1476-1480, doi: 10.1109/BigData59044.2023.10386811. [Link]

  7. Mohammad Ishtiaque Rahman, Forhan Bin Emdad, Chashi Mahiul Islam, and Zhe He. Uncovering the Interplay of Demographics and Healthcare Provider Availability on CMS HCC Risk Scores for Disabled Beneficiaries. The 11th edition of the International Conference on e-Health and Bioengineering (BHE 2023). IFMBE Proceedings Series. In press.

  8. Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, and Zhe He. Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. The 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB 2023). September 2023. Houston, TX. pp. 1-6. DOI: https://doi.org/10.1145/3584371.3613002 [Link]

  9. Gregor Stiglic, Lucija Gosak, Primož Kocbek, Leon Kopitar, Prithwish Chakraborty, Pablo Meyer, Zhe He, and Jiang Bian. Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI. KDD 2023 Workshop on Applied Data Science for Healthcare (KDD DSHealth 2023),  In press.

  10. Yuanying Pang*, Ankita Singh*, Shayok Chakraborty, Neil Charness, Walter R. Boot, and Zhe He. Using Game Performance Data to Predict Adherence to Gamified Cognitive Training. The 7th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2023). June 12-15, 2023. Portoroz, Slovenia. In press.

  11. Forhan Bin Emdad*, Shubo Tian*, Esha Nandy, Karim Hanna, and Zhe He. Towards Interpretable Multimodal Predictive Models for Early Mortality Prediction of Hemorrhagic Stroke Patients. AMIA 2023 Informatics Summit.  2023; 2023: 128–137. PMID: 37350906. PMCID: PMC10283097. [Link]

  12. Arslan Erdengasileng, Shubo Tian, Sara 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. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2022). In press.

  13. Akhil Shiju and Zhe He. Classifying Drug Ratings Using User Reviews with Transformer-Based Language Models. The 10th IEEE International Conference on Healthcare Informatics (ICHI 2022). In press.

  14. 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. AMIA 2022 Informatics Summit. 2022; 2022: 226-235. PMID: 35854753. PMCID: PMC92851183 [Link]

  15. Shubo Tian, Pengfei Yin, Hansi Zhang, Arslan Erdengasileng, Jiang Bian and Zhe He. Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model. The 6th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2021). November 3-5, 2021. Virtual. November 3-5, 2021. Virtual. In press. [medRxiv]

  16. Alex Moerschbacher and Zhe He. Building Prediction Models for 30-Day Readmissions Among ICU Patients Using Both Structured and Unstructured Data in Electronic Health Records. The 6th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2021). November 3-5, 2021. Virtual. November 3-5, 2021. Virtual. In press. [medRxiv]

  17. Pengfei Yin, Hansi Zhang, Xing He, Matthew Diller, Qian Li, Shubo Tian, Arslan Erdengasileng, Zhe He, Cui Tao, and Jiang Bian. Toward Formal Computable Representation of Clinical Trial Eligibility Criteria for Alzheimer’s Disease. The 6th International Workshop on Semantics-Powered Health Data Analytics (SEPDA 2021). November 3-5, 2021. Virtual. In press.

  18. Shubo Tian, Arslan Erdengasileng, Xi Yang, Yi Guo, Yonghui Wu, Jingfeng Zhang, Jiang Bian, and Zhe He. Transformer-Based Named Entity Recognition for Parsing Clinical Trial Eligibility Criteria. The 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB 2021). Virtual. August 1-4, 2021. Virtual. August 1-4, 2021. pp. 1-6. https://doi.org/10.1145/3459930.3469560 [Link]

  19. Sicheng Zhou, Dalton Schutte, Aiwen Xing, Jiyang Chen, Julian Wolfson, Zhe He, Fang Yu and Rui Zhang. Identification of Dietary Supplement Use from Electronic Health Records Using Transformer-based Language Models. 2021 IEEE International Conference on Healthcare Informatics (ICHI 2021), 2021. In press.

  20. Yu Lu, Katherine Min, Zhan Zhang, Xiao Luo, and Zhe He. Pregnancy Related Information Seeking in Online Forums: A qualitative Study. iConference 2021. March 28-31, 2021. Beijing, China. pp. 18-36. (Acceptance rate: 31%; 32/103 full paper submissions) [Link]

  21. *Seyedeh Neelufar Payrovnaziri, Aiwen Xing, Salman Shaeke, Xiuwen Liu, Jiang Bian, and Zhe He. Assessing the Impact of Imputation on the Interpretations of Prediction Models: A Case Study on Mortality Prediction for Patients with Acute Myocardial Infarction. AMIA 2021 Informatics Summit. Virtual. March 22-25, 2021. pp. 465-474. [medRxiv] [AMIA]

  22. Xiao Luo, Haoran Ding, Matthew Tang, Priyanka Gandhi, Zhan Zhang, and Zhe He. Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site. 2020 IEEE International Conference on Bioinformatics and Biomedicine. 2020: 1077-1081. PMCID: PMC7929090 [PMC]

  23. Anusha Bompelli, Jianfu Li, Yiqi Xu, Nan Wang, Terrance Adam, Zhe He, and Rui Zhang. Deep Learning Approaches to Extract Eligibility Criteria on Dietary Supplements Clinical Trials. AMIA 2020 Annual Symposium. November 14-18, 2020. Virtual. pp. 243-252. PMID: 33936396. PMCID: PMC8075443 [medRxiv] [PMC]

  24. Qian Li, Yi Guo, Zhe He, Hansi Zhang, Thomas J. George, and Jiang Bian. Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria Design: a Case Study of Alzheimer’s Disease Trials. AMIA 2020 Annual Symposium. November 14-18, 2020. Virtual. pp. 717-726. PMID: 33936446. PMCID: PMC8075542. (1st Place of the 7th AMIA Knowledge Discovery and Data Mining Student Innovation Award) [medRxiv] [PMC]

  25. Yu Lu, Xiao Luo, Zhan Zhang, and Zhe He. Retrieving Lab Test Related Questions from Social QA Sites By Combining Shallow Features and Deep Representations. AMIA 2020 Annual Symposium. November 14-18, 2020. Virtual. pp. 717-726. PMID: 33936453. PMCID: PMC8075538. [medRxiv] [PMC]

  26. Shaeke Salman†, Seyedeh Neelufar Payrovnaziri†, Xiuwen Liu, Pablo Rengifo-Moreno, and Zhe He. DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction. 2020 International Joint Conference on Neural Networks (IJCNN 2020). Glasgow, United Kingdom, 2020, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9206678. PMID: 33101768 PMCID: PMC7583142 [Link] [PMC]

  27. Zhe He, Laura A. Barrett, Rubina F. Rizvi, Xiang Tang, Seyedeh Neelufar Payrovnaziri, and Rui Zhang. Assessing the Use and Perception of Dietary Supplements Among Obese Patients with National Health and Nutrition Examination Survey. AMIA 2020 Informatics Summit. 2020; 231-40. PMID: 32477642. PMCID: PMC7233063 [Link] [PubMed] [PMC]

  28. Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, and Xia Ben Hu. Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media. The 4th International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2019). October 15, 2019. Aukland, New Zealand. CEUR WS Proceedings: 2417. pp. 48-52. [Link]

  29. Nur Hafieza Ismail, Mengnan Du, Diego Martinez, and Zhe He. Multivariate Multi-step Deep Learning Time Series Approach in Forecasting Parkinson’s Disease Future Severity Progression. The 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB 2019). Niagara Falls, NY. pp. 383-389. (Acceptance rate: 39%) [Link]

  30. Qian Li†, Zhe He†, Yi Guo†, Hansi Zhang, Thomas J George Jr, William Hogan, Neil Charness, Jiang Bian, Assessing the Validity of a a prior Patient-Trial Generalizability Score using Real-world Data from a Large Clinical Data Research Network: A Colorectal Cancer Clinical Trial Case Study. AMIA 2019 Annual Symposium. November 14-18, 2019. Washington DC. pp.1101-1110. PMID: 32308907. PMCID: PMC7153072 (†:Co-first authors) (2nd Place of the Student Paper Competition) [PMC]

  31. Seyedeh Neelufar Payrovnaziri, Laura A. Barrett, Daniel Bis, Jiang Bian, and Zhe He. Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. MEDINFO 2019. August 26-30, 2019. Lyon, France. Studies in Health Technology and Informatics. 2019 Aug 21;264:273-277. doi: 10.3233/SHTI190226. PMID: 31437928. PMCID: PMC6785831 [IOS Press] [PMC]

  32. Zhan Zhang, Yu Lu, Yubo Kou, Danny Wu, Jina Huh-Yoo, and Zhe He. Understanding Patient Information Needs about their Clinical Laboratory Results: A Study of Social Q&A Site. MEDINFO 2019. August 26-30, 2019. Lyon, France. Studies in Health Technology and Informatics. 2019 Aug 21;264:1403-1407. doi: 10.3233/SHTI190458. PMID: 31438157. PMCID: PMC6857529 [IOS Press] [PMC]

  33. Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Zhe He, and Rui Zhang. Analyzing Social Media Data to Understand Consumers’ Information Needs on Dietary Supplements. MEDINFO 2019. August 26-30, 2019. Lyon, France. Studies in Health Technology and Informatics. 2019 Aug 21;264:323-327. doi: 10.3233/SHTI190236. PMID: 31437938.PMCID: PMC6792048 [IOS Press] [PMC]

  34. Francisco Modave, Yunpeng Zhao, Janice Krieger, Zhe He, Yi Guo, Jiang Bian. Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter. MEDINFO 2019. August 26-30, 2019. Lyon, France. Studies in Health Technology and Informatics. 2019 Aug 21;264:1293-1297. doi: 10.3233/SHTI190435. PMID: 31438134.[Preprint] [IOS Press]

  35. Zhe He, Rubina F. Rizvi, Fan Yang, Terrence J. Adam, and Rui Zhang. Comparing the Study Populations in Dietary Supplement and Drug Clinical Trials for Metabolic Syndrome Related Disorders. AMIA 2019 Informatics Summit. March 25-28, 2019. San Francisco, CA. pp. 799-808 [AMIA]

  36. *Laura A. Barrett, *Seyedeh Neelufar Payrovnaziri, Jiang Bian, and Zhe He. Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. AMIA 2019 Informatics Summit. March 25-28, 2019. San Francisco, CA. pp. 407-416. (Finalist of the Student Paper Award) [Link] [AMIA] (Media Report)

  37. Zhe He, Vipina Kuttichi Keloth, Yan Chen, and James Geller. Extended Analysis of Topological-Pattern-Based Ontology Enrichment. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine. December 3-6, 2018, Madrid, Spain. pp.1641-1648. PMID: 30854243. PMCID: PMC6402505 [Link] [PMC]

  38. Xing He, Rui Zhang, Rubina Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, and Jiang Bian. Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine. December 3-6, 2018, Madrid, Spain. pp. 1649-1652 [Link]

  39. *Daniel Biś, *Canlin Zhang, Xiuwen Liu, and Zhe He. Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation. Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018). [Link] December 3-6, 2018, Madrid, Spain. pp. 313-320. (Acceptance Rate of Regular Paper: 19.6%) [Link]

  40. Hansi Zhang, Zhe He, Xing He, Yi Guo, David R. Nelson, François Modave, Yonghui Wu, William Hogan, and Jiang Bian. Computable Eligibility Criteria through Ontology-Driven Data Access: A Case Study of Hepatitis C Virus Trials. Proceedings of AMIA 2018 Annual Symposium. November 3-8, 2018. San Francisco, CA. pp. 1601-1610. PMID: 30815206. PMCID: PMC6371316 (Finalist of the Student Paper Award, 8 out of 47 student papers were selected) [PMC]

  41. Vipina Kuttichi Keloth, Zhe He, Yan Chen, and James Geller. Leveraging Horizontal Density Differences Between Ontologies to Identify Missing Child Concepts: A Proof of Concept. Proceedings of AMIA 2018 Annual Symposium. November 3-8, 2018. San Francisco, CA. pp. 644-653. PMID: 30815106. PMCID: PMC6371323 [PDF][PMC]

  42. Jinchan Qu, Albert Steppi, Jie Hao, Jian Wang, Pei-Yau Lung, Tinting Zhao, Zhe He and Jinfeng Zhang. Mining protein interactions affected by mutations using a NLP based machine learning approach. Proceedings of BioCreative VI Challenge and Workshop. October 18-20, 2017 Bethesda, MD. pp. 132-135. (Invited to give an oral presentation at BioCreative VI Track 4: Mining protein interactions and mutations for precision medicine) [Link]

  43. Pei-Yau Lung, Tingting Zhao, Zhe He and Jinfeng Zhang. Extracting chemical-protein compound interactions from literature. Proceedings of BioCreative VI Challenge and Workshop. October 18-20, 2017. Bethesda, MD. pp. 160-163. (Invited to give an oral presentation at BioCreative VI Track 5: Text mining chemical protein interactions) [[Link]

  44. Juan Antonio Lossio-Ventura, William Hogan, Francois Modave, Yi Guo, Zhe He, Amanda Hicks, and Jiang Bian, OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base. Proceedings of 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017). November 13 – 16, 2017. Kansas City, MO. pp. 1284-1287. DOI: 10.1109/BIBM.2017.8217845 [IEEE]

  45. *Biyang Yu and Zhe He. Exploratory Textual Analysis of Consumer Health Languages for People Who are D/deaf and Hard of Hearing. Proceedings of 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017). November 13 – 16, 2017. Kansas City, MO. pp. 1288-1291. DOI: 10.1109/BIBM.2017.8217846 [IEEE] [PDF]

  46. *Zhiwei Chen, Zhe He, Xiuwen Liu, and Jiang Bian. An Exploration of Semantic Relations in Neural Word Embeddings Using Extrinsic Knowledge. Proceedings of 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017). November 13 – 16, 2017. Kansas City, MO. pp.1246-1251. DOI: 10.1109/BIBM.2017.8217836 [IEEE] [PDF]

  47. Zhe He, Yehoshua Perl, Gai Elhanan, Yan Chen, James Geller, and Jiang Bian. Auditing the Assignments of Top-Level Semantic Types in the UMLS Semantic Network to UMLS Concepts. Proceedings of 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017). November 13 – 16, 2017. Kansas City, MO. pp. 1262-1269. DOI: 10.1109/BIBM.2017.8217840. PMID: 29375930 [IEEE] [PubMed] [PDF]

  48. Zhe He, Arturo Gonzalez-Izquierdo, Spiros Denaxas, Andrei Sura, Yi Guo, William R. Hogan, Elizabeth Shenkman, and Jiang Bian. Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. Proceedings of American Medical Informatics Association 2017 Annual Symposium (AMIA 2017). November 4-8, 2017. Washington DC. pp. 849-858. PMID: 29854151. PMCID: PMC5977671. [PDF] [PMC](Acceptance rate: 39%) (Distinguished Paper Award of AMIA 2017 Annual Symposium; three awards were selected from 105 accepted paper and 266 paper submissions) [CCI News]

  49. Zhe He, Yan Chen, and James Geller. Perceiving the Usefulness of National Cancer Institute Metathesaurus for Enriching NCIt with Topological Patterns. The 16th World Congress on Medical and Health Informatics (MEDINFO 2017). August 21-25, 2017. Hangzhou, China. Studies in Health Technology and Informatics. 2017;245: 863-867. PMID: 29295222. DOI:10.3233/978-1-61499-830-3-863 [IOS] [PDF] [PubMed] [PMC]

  50. Juan Antonio Lossio-Ventura, William Hogan, François Modave, Amanda Hicks, Yi Guo, Zhe He, and Jiang Bian. Towards an Obesity-Cancer Knowledge Base: Biomedical Entity Identification and Relation Detection. Proceedings of 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016). December 15-18, 2016. Shenzhen, China. pp. 1081-1088. DOI: 10.1109/BIBM.2016.7822672. PMID: 28503356 [IEEE] [PubMed] [PMC] [PDF]

  51. Zhe He, *Zhiwei Chen, and Jiang Bian. Analysis of Temporal Constraints in Qualitative Eligibility Criteria of Cancer Clinical Studies. Proceedings of 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016). December 15-18, 2016. Shenzhen, China. pp. 717-722. PMID: 29263940. PMCID: PMC5733789. DOI: 10.1109/BIBM.2016.7822607. (Acceptance rate: 19%) [IEEE] [PDF] [PMC]

  52. Zhe He, Yan Chen, Sherri de Coronado, Katrina Piskorski, and James Geller. Topological-Pattern-based Recommendation of UMLS Concepts for National Cancer Institute Thesaurus. Proceedings of American Medical Informatics Association 2016 Annual Symposium (AMIA 2016). November 12-16, 2016. Chicago, IL. pp. 618-627. PMID: 28269858 [Talk Slides] [PubMed] [PMC]

  53. Zhe He, *Zhiwei Chen, Thomas J George, Gloria Lipori, and Jiang Bian. Assessing the Population Representativeness of Colorectal Cancer Treatment Clinical Trials. Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016). August 16-20, 2016. Orlando, FL. pp.2970-2973. DOI: 10.1109/EMBC.2016.7591353. PMID: 28268936. PMCID: PMC5727892. (Acceptance rate for oral presentations: 20%) [IEEE] [PubMed] [PMC]

  54. Zhe He and James Geller. Preliminary Analysis of Difficulty of Importing Pattern-Based Concepts into the National Cancer Institute Thesaurus. Studies in Health Technology and Informatics. 2016. Volume 288: Exploring the Complexity in Health: An Interdisciplinary Systems Approach: 389-393. Medical Informatics Europe 2016 (MIE 2016). August 28 – September 2, 2016. Munich, Germany. DOI: 10.3233/978-1-61499-678-1-389. PMID: 27577410. [IOS Press] [PubMed] [PMC]

  55. Zhe He, *Min Sook Park, and *Zhiwei Chen. UMLS-Based Analysis of Medical Terminology Coverage for Tags in Diabetes-Related Blogs. Proceedings of iConference 2016. March 20-23, 2016. Philadelphia, PA. DOI: 10.9776/16249. (Acceptance rate: 30%) (Runner up of the Most Interesting Preliminary Results Paper Award, Top 5) [Award Certificate] [Link] [PDF]

  56. Zhe He, Neil Charness, Jiang Bian, and William R. Hogan. Assessing the Comorbidity Gap between Clinical Studies and Prevalence in Elderly Patient Populations. Proceedings of 2016 IEEE International Conference on Biomedical and Health Informatics (BHI 2016). February 24-27, 2016. Las Vegas, NV. pp.136-139. PMID: 27738664. [PDF] [IEEE Xplore] [PubMed] [PMC]

  57. Cilia Zayas, Zhe He, Jiawei Yuan, Mildred Maldonado-Molina, William R. Hogan, François Modave, and Jiang Bian. Examining Healthcare Utilization Patterns of Elderly and Mid-Aged Adults in the United States. Proceedings of the 29th International FLAIRS Conference (FLAIRS-29). May 16-18, 2016. Key Largo, FL. pp.361-366. PMID: 27430035. [AAAI] [PubMed] [PMC]

Refereed Conference Panel Abstracts

  1. Zhe He, Rui Zhang, Olivier Bodenreider, Xinxin Zhu, Ronald Cornet, and Songmao Zhang. Developing Careers in Biomedical and Health Informatics. MEDINFO 2019. August 26-30, 2019, Lyon, France. (Panel)

  2. Zhe He, Rui Zhang, Olivier Bodenreider, Songmao Zhang, and Xinxin Zhu. Developing Careers in Biomedical and Health Informatics. MEDINFO 2019. August 26-30, 2019, Lyon, France.

  3. Zhe He, Duo Wei, Jiang Bian, Jianlin Liu, and Yang Gong. Advancing Health Informatics Education and Health IT Workforce Development through Interdisciplinary Collaboration. The 16th World Congress on Medical and Health Informatics (MEDINFO 2017). August 21-25, 2017. Hangzhou, China.

Refereed Presentations (Conference Poster/Podium Abstracts)

  1. Bhasuran B, Jin Q, Tian S, Hanna K, Lu Z,  He Z. Evaluating the Impact of Lab Test Results on Large Language Models Generated Differential Diagnoses from Clinical Case Vignettes. AMIA 2024 Annual Symposium, November 9-13, 2024. San Francisco, CA.

  2. He Z, Bhasuran B, Jin Q, Tian S, Hanna K, Lu Z, Using Informatics and Generative AI to Support Older Adults’ Understanding of Lab Test Results. Presented at “East Meets West: Application of AI to Support Healthy Aging and Effective Care in Diverse Cultures” symposium of the Gerontological Society of America (GSA) 2024 Annual Scientific Meeting (GSA 2024), November 13-16, 2024, Seattle, WA.

  3. He, Z, Bhasuran, B., Wang, X., Gupta, D., & Killian, M. O. (June, 2024). Predicting Organ Rejections for Pediatric Heart Transplantations with a Combined Use of Transplant Registry Data and Electronic Health Records. Poster at American Transplant Congress, June 2024, Philadelphia, PA. (Pediatric Best Poster Award)

  4. Forhan Bin Emdad, Gregor Stiglic, Zhe He. Evaluating AI Reporting Guideline Adherence of Medical AI Research Using Large Language Model-based Systems. Poster presented at AMIA 2024 Informatics Summit, March 2024, Boston, MA. 

  5. He, Z, Bhasuran, B., Wang, X., Gupta, D., & Killian, M. O.. Predicting Organ Rejections for Pediatric Heart Transplantations with a Combined Use of Transplant Registry Data and Electronic Health Records. Poster presented at AMIA 2024 Informatics Summit, March 2024, Boston, MA. 

  6. Zhe He, Shubo Tian, Arslan Erdengasileng, Mia Liza A. Lustria. Towards Semi-Automated Construction of Laboratory Test Result Comprehension Knowledgebase for a Patient-Facing Application. AMIA 2023 Informatics Summit, AMIA, Seattle, WA. March 2023 (Podium presentation)

  7. Michael Killian, Shubo Tian, Aiwen Xing, Diana Huges, Dipankar Gupta, Zhe He. Predicting Health Outcomes Using Machine Learning in Pediatric Heart Transplantation Using UNOS Data. The 43th Annual Meeting & Scientific Sessions of the International Society for Heart and Lung Transplantation (ISHLT 2023), Denver, CO, USA. April 2023. 

  8. Michael Killian, Shubo Tian, Aiwen Xing, Diana Huges, Dipankar Gupta, Zhe He. Predicting Health Outcomes through Machine Learning in Pediatric Heart Transplantation: Use of National Data from the United Network for Organ Sharing. The 27th Annual Conference of the Society for Social Work and Research (SSWR), Society for Social Work and Research, Phoenix, AZ. January 2023. (Podium presentation)

  9. Austin Mast, Shubo Tian, Zhe He, E Krimmel, M Buckley, S Gome, A Hennessey, A Horn, O Howell. Demonstration of the use of computational linguistics and machine learning to identify phenological anomalies described in the world’s biodiversity specimen records. The 6th Annual Digital Data Conference, iDigBio, Virtual. May 2022. (Podium Presentation)

  10. Mia Liza A. Lustria, Michael Dieciuc, Andrew Dilanchian, Shenghao Zhang, Walter R. Boot, Neil Charness, Dawn Carr, Zhe He, Shayok Chakraborty, Antonio Terracciano. I got training on the brain”: Designing Messages to Improve Seniors’ Adherence to Cognitive Assessment and Training Programs. 2022 Kentucky Conference on Health Communication, Department of Communication, University of Kentucky, Lexington, KY. April 2022. (Top Poster Award)  

  11. Zhe He, Shubo Tian, Ankita Singh, Shayok Chakraborty, Mia Liza A. Lustria, Neil Charness, and Walter R. Boot. Machine Learning-Based Predictions of Older Adults’ Adherence to Technology-Based Cognitive Training. 2021 Aging and Health Informatics Conference. December 6-7, 2021. Virtual. (Best Interdisciplinary Research Award).

  12. Zhe He, Mia Lustria, Shubo Tian, Maedeh Agharazidermani, Walter Boot, and Dawn Carr. Factors that Motivates Older Adults to Participate in Research: Typology and Implications. Gerontological Society of America Annual Meeting 2021 (GSA 2021). Innovation in Aging. 2021; 5(Suppl 1).

  13. Aditya Bhattacharya, Shubo Tian, Nelson Roque, Zhe He, Walter Boot, and Shayok Chakraborty, Machine Learning Approaches to Understanding and Predicting Patterns of Adherence. Gerontological Society of America Annual Meeting 2021 (GSA 2021). Innovation in Aging. 2021; 5(Suppl 1).

  14. Laura A. Barrett, Aiwen Xing, Elizabeth Steidley, Terrance Adam, Rui Zhang, and Zhe He. Assessing the Use of Prescription Drugs in Obese Respondents Using National Health and Nutrition Examination Survey Data. AMIA 2021 Annual Symposium. (Poster)

  15. Zhe He, Arslan Erdenasileng, Xiang Tang, Yiqi Xu, Qian Li, Neil Charness, William Hogan, Thomas J. George, Yi Guo, Jiang Bian. ctGATE: A Clinical Trial Generalizability Assessment Toolbox. AMIA 2021 Informatics Summit. (Podium Presentation)

  16. Zhan Zhang, Caleb Wilson, and Zhe He. Contextualizing Consumer Health Information Seeking. AMIA 2019 Annual Symposium. In press. (Poster)

  17. Zhe He, Laura A. Barrett, Rubina F. Rizvi, Seyedeh Neelufar Payrovnaziri, and Rui Zhang. Exploring the Discrepancies in Actual and Perceived Benefits of Dietary Supplements Among Obese Patients. MEDINFO 2019. August 26-30, 2019. Lyon, France. Studies in Health Technology and Informatics. In press. (Poster).

  18. Lynette Hammond Gerido and Zhe He. Improving Patient Participation in Cancer Clinical Trials: A qualitative analysis of HSRProj & RePORTER. MEDINFO 2019. August 26-30, 2019. Lyon, France. Studies in Health Technology and Informatics. In press. (Poster).

  19. Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Ben Hu. Identification of Cancer Survivors Living with PTSD on Social Media. MEDINFO 2019. August 26-30, 2019. Lyon, France. Studies in Health Technology and Informatics. In press. (Poster).

  20. Zhan Zhang, Yu Lu, Caleb Wilson, and Zhe He. Making Sense of Clinical Laboratory Results: An Analysis of Questions and Replies in a Social Q&A Community. MEDINFO 2019. August 26-30, 2019. Lyon, France. Studies in Health Technology and Informatics. In press. (Poster).

  21. Zhe He and Jiang Bian. Early Findings of a Survey on the Perception of Clinical Trial Generalizability Assessment and Eligibility Criteria Design. AMIA 2019 Informatics Summit. March 25-28, 2019. San Francisco, CA.

  22. *Lynette Gerido and Zhe He. Opportunities to Improve Methods for Increasing Participation in Cancer Clinical Trials. AMIA 2018 Annual Symposium. November 3-8, 2018. San Francisco, CA (Poster)

  23. *Lynette Gerido and Zhe He. Patient-Centered Strategies to Increase Participation in Cancer Clinical Trials. The Sixth IEEE International Conference on Healthcare Informatics (ICHI 2018), June 4-7, 2018. New York, NY. pp. 361-362. DOI: 10.1109/ICHI.2018.00056. (Poster) [IEEE]

  24. *Biyang Yu, *Lynette Gerido, and Zhe He. Exploring Text Classification of Social Support in Online Health Communities for People Who are D/deaf and Hard of Hearing. Proceedings of the Association for Information Science and Technology (ASIS&T 2017), 54(1): 840-841. Washington DC. October 27 – November 1, 2017. DOI: 10.1002/pra2.2017.14505401179. (Visual Presentation Abstract) [Link]

  25. *Lynette Gerido, Michelle Kazmer, Zhe He, and Marcia Mardis. Emergent Trends in Research to Increase Participation in Cancer Clinical Trials by Underrepresented Population: A Qualitative Analysis of the HSRProj Database. Proceedings of the Association for Information Science and Technology (ASIS&T 2017). 54(1): 677-678. Washington DC. October 27 – November 1, 2017. DOI: N10.1002/pra2.2017.14505401113 (Visual Presentation Abstract) [Link]

  26. Jiang Bian, Andrei Sura, Yi Guo, François Modave, Zhe He, Elizabeth Shenkman, and William Hogan. Implementing a Hash-based Privacy-Preserving Entity Resolution Tool in the OneFlorida Clinical Data Research Network. American Medical Informatics Association 2017 Annual Symposium (AMIA 2017). November 4-8, 2017. Washington DC. pp.1953. (Poster)

  27. Zhe He, *Zhiwei Chen, *Sarah Mixon, and Jiang Bian. A Visual Analysis Tool for Qualitative Eligibility Criteria of Clinical Studies. American Medical Informatics Association 2017 Annual Symposium (AMIA 2017). November 4-8, 2017.Washington DC. pp.2029. (Poster)

  28. Juan Antonio Lossio-Ventura, William Hogan, François Modave, Amanda Hicks, Yi Guo, Zhe He, Mirela Vasconcelos, and Jiang Bian. Building an Obesity and Cancer Semantic Web Knowledge Base. American Medical Informatics Association 2017 Annual Symposium (AMIA 2017). November 4-8, 2017. Washington DC. pp.2088. (Poster)

  29. Zhe He and Aisha Langford. Comparative Analysis of Geriatric and Adult Drug Clinical Trials on ClinicalTrials.gov. The 16th World Congress on Medical and Health Informatics (MEDINFO 2017). August 21-25, 2017. Hangzhou, China. Studies in Health Technology and Informatics. 2017;245: 1265. PMID: 23295350 (Poster) [PubMed]

  30. Tianyao Huo, Thomas J. George, Yi Guo, Zhe He, Mattia Prosperi, François Modave, and Jiang Bian. Explore Care Pathways of Colorectal Cancer Patients with Social Network Analysis. The 16th World Congress on Medical and Health Informatics (MEDINFO 2017). August 21-25, 2017. Hangzhou, China. Studies in Health Technology and Informatics. 2017;245: 1270. PMID: 29295255 (Poster) [PubMed]

  31. Natasha Williams, Zhe He, Andrea Barnes, Aisha Langford, and Girardin Jean-Louis. Minority participation in clinical trials for obstructive sleep apnea and insomnia. SLEEP 2017, June 3-7, 2017.Boston, MA. (Poster).

  32. Aisha Langford and Zhe He, Eligibility Criteria for Hypertension-Related Interventions: Are Blacks Included?” The 38th Annual Meeting and Scientific Sessions of the Society of Behavioral Medicine (SBM 2017). March 29 – April 1, 2017. San Diego, CA. (Poster)

  33. Zhe He, *Zhiwei Chen, *Sarah Mixon, Juan Antonio Loss-Ventua, and Jiang Bian. Developing a Parser to Structure Free-Text Qualitative Eligibility Criteria in Clinical Trials. 2017 Florida Undergraduate Research Conference. February 24-25, 2017. Miami, FL. (Poster)

  34. Amanda Hicks, William R. Hogan, Zhe He, Josh Hanna, Besty Shenkman, Jiawei Yuan, Jiang Bian. Using Semantic Queries for Cohort Discovery Across Research Networks. OHDSI Symposium 2015. October 20, 2015, Washington DC. (Poster)