Related Publications

Publications Supported by This Project

  1. Qian Li, Yi Guo, Zhe He, Hansi Zhang, Thomas J. George, and Jiang Bian. Using Real-World Data to Rationalize Clinical Trials Eligibility Criteria: a case study on Alzheimer’s Disease and Donepezil. AMIA 2020 Annual Symposium. Under Review.
  2. Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J George Jr, Mattia Prosperi, William Hogan, Zhe He, 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. AMIA 2020 Annual Symposium. Under Review.
  3. 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. Under Review.
  4. Seyedeh Neelufar Payrovnaziri, Aiwen Xing, Salman Shaeke, Xiuwen Liu, Jiang Bian, and Zhe He. The Impact of Missing Value Imputation on Interpretations of Predictive Models: A Case Study on One-year Mortality Prediction in ICU Patients with Acute Myocardial Infarction. AMIA 2020 Annual Symposium. Under Review.
  5. 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. In press. (Ling Zheng and Zhe He are equal-contribution first authors, SCI, Impact Factor: 4.29)
  6. *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]
  7. *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]
  8. 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). In press.
  9. 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. [Link] [PDF]
  10. 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. PMID: 32058639. 2020. DOI: 10.1111/cts.12764. In press (SCIE, Impact Factor: 3.989) [Link] [PubMed]
  11. 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]
  12. 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. PMCID: PMC6914241 (SCIE, Impact Factor: 4.945) [Link]
  13. Qian Li†, Zhe He†, Yi Guo†, Hansi Zhang, Thomas J George Jr, William 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 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]
  14. 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. 2019 Aug 21;264:1925-1926. doi: 10.3233/SHTI190716. PMID: 31438410. (Poster). [Link]
  15. 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. (Poster)
  16. 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. PMID: 31259037. PMCID: PMC6568097 [AMIA] [PMC]
  17. 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]

Former Publications

  1. 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. In press.
  2. *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)
  3. *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]
  4. 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. PMID: 29650502. (SCIE, Impact Factor: 4.67) [Link] [PubMed] [PMC]
  5. Lynette Gerido, Michelle Kazmer, Zhe He, 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 80th Annual Meeting of the Association for Information Science and Technology (ASIS&T 2017), Washington DC. October 27 – November 1, 2017 (Visual Presentation Abstract) [Link]
  6. Zhe He, Arturo Gonzalez-Izquierdo, Spiros 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. Proceedings of AMIA 2017 Annual Symposium. November 4-8, 2017. Washington DC. pp. 849-858. PMID: 29854151. PMCID: PMC5977671. (Distinguished Paper Award of AMIA 2017 Annual Symposium; three awards were selected from 105 accepted paper and 266 paper submissions) [PMC] [CCI News]
  7. Zhe He, Zhiwei Chen, Sarah Mixon, Jiang Bian. A Visual Analysis Tool for Qualitative Eligibility Criteria of Clinical Studies. Proceedings of AMIA 2017 Annual Symposium. November 4-8, 2017, Washington DC. In press. (Poster Abstract)
  8. Zhe He and Aisha Langford. Comparative Analysis of Geriatric and Adult Drug Clinical Trials on ClinicalTrials.gov. Proceedings of 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]
  9. 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 Abstract).
  10. 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 Abstract)
  11. Zhe He, Zhiwei Chen, and Jiang Bian. Analysis of Temporal Constraints in Qualitative Eligibility Criteria of Cancer Clinical Studies. Proceedings of the 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016). pp. 717-722. PMID: 29263940. PMCID: PMC5733789. DOI: 10.1109/BIBM.2016.7822607. (Acceptance rate: 19%) [IEEE] [PMC]
  12. 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. PMID: 28268936 PMCID: PMC5727892. (Acceptance rate for oral presentations: 20%) [IEEE] [PubMed] [PMC]
  13. Zhe He*, Patrick Ryan, Julia Hoxha, Shuang Wang, Simona Carini, Ida Sim, and Chunhua Weng. Multivariate analysis of the population representativeness of related clinical studies. Journal of Biomedical Informatics. 2016;60:66-76. PMID: 26820188. (SCI, Impact Factor: 2.88, 5-Year Impact Factor: 3.12) [ScienceDirect] [PubMed]
  14. 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. February 24-27, 2016. Las Vegas, NV. pp.136-139. PMID: 27738664. [IEEE Xplore] [PMC]
  15. Zhe He, Praveen Chandar, Patrick Ryan, and Chunhua Weng. Simulation-based Evaluation of the Generalizability Index for Study Traits. Proceedings of AMIA 2015 Annual Symposium. November 14-18, 2015. San Francisco, CA. pp.594-603. PMID: 26958194 (Distinguished Paper Award of AMIA 2015 Annual Symposium [Official Announcement] [Award Certificate] [News Article]) [PubMed] [PMC] (Clinical Research Informatics 2016 Year in Review)
  16. Zhe He, Shuang Wang, Elhaam Borhanian, and Chunhua Weng. Assessing the Collective Population Representativeness of Type 2 Diabetes Trials by Combining Public Data from ClinicalTrials.gov and NHANES. Proceedings of MEDINFO 2015, August 19-23, 2015, Sao Paulo, Brazil. Studies in Health Technology and Informatics. 2015. 216:569-73. (Student Paper Award Nominee) [PubMed] [PMC] [IOS Press]
  17. Zhe He, Patrick Ryan, Shuang Wang, and Chunhua Weng. A Method for Assessing the Collective Population Representativeness of Multiple Related Clinical Trials Using Public Data. Proceedings of AMIA 2015 Joint Summits on Translational Science, March 23 – 27, 2015, San Francisco, CA. pp.255-256. (Podium abstract) [Talk Slides]
  18. Zhe He, Simona Carini, Ida Sim, and Chunhua Weng*. Visual aggregate analysis of eligibility features of clinical trials. Journal of Biomedical Informatics. 2015;54:241-255. PMID: 25615940. (SCI, Impact Factor: 2.88, 5-Year Impact Factor: 3.12) [ScienceDirect] [PubMed] [PMC] [Link to VITTA System] (Clinical Research Informatics 2016 Year in Review)
  19. Chunhua Weng, Anil Yaman, Kuo Lin, and Zhe He. Trend and Network Analysis of Common Eligibility Features for Cancer Trials in ClinicalTrials.gov. Proceedings of 2014 International Conference for Smart Health, July 10 – 11, 2014, Beijing, China. Smart Health, Lecture Notes in Computer Science, Volume 8549:130-141. PMID: 26998530. [Springer] [PubMed]
  20. Zhe He, Simona Carini, Tianyong Hao, Ida Sim, and Chunhua Weng. A Method for Analyzing Commonalities in Clinical Trial Target Populations. Proceedings of AMIA 2014 Annual Symposium, November 15 – 19, 2014, Washington D.C. pp.1777-1786. PMID: 25954450. [PubMed] [PMC] [Talk Slides]