Zhe He (何辙), PhD, FAMIA, IEEE Senior Member
[ How to pronounce my name? The pronunciation of "Zhe" is similar to "Geor(gia)" sound. The pronunciation of "He" is like "her" but without the "r" sound (the British accent). ]
Associate Professor, School of Information, Florida State University
Informatics Lead and Director, Biostatistics, Informatics, and Research Design (BIRD) Program of UF-FSU Clinical and Translational Science Award
Associate Professor (courtesy), Department of Behavioral Sciences & Social Medicine, College of Medicine, Florida State University
Associate Professor (courtesy), Department of Computer Science, Florida State University
Director, eHealth Lab, College of Communication and Information, Florida State University
Chair-Elect (2024), Vice Chair (2023), Secretary (2020-2022), AMIA Knowledge Discovery and Data Mining Working Group
Address: 271 Shores Building, 142 Collegiate Loop. Tallahassee FL, 32306-2100
Phone: 850.644.5775
Email: zhe AT fsu DOT edu
[CV] [NIH Bio] [FSU FEAS CV] [Academic Genealogy] [GitHub] [Google Scholar] [ResearchGate] [NCBI] [OCRID] [NIH BIO]
Calls for Participation:
The 9th IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2024) (Deadline passed)
The 12th IEEE International Conference on Healthcare Informatics (ICHI 2024) (Deadline passed)
Special Issue "Artificial Intelligence and Data Integration in Precision Health" (Deadline passed)
Special Collection on "Health promotion in the era of social media and digital communication", BMC Digital Health, Deadline: July 10, 2024
Biography
I am a tenured Associate Professor in the School of Information (iSchool) at the Florida State University and a Core Affiliate of the Institute for Successful Longevity. I am also holding courtesy appointments with the Department of Behavioral Sciences and Social Medicine of the College of Medicine and the Department of Computer Science. At Florida State, I am the Informatics Lead and Director of Biostatistics, Informatics, and Research Design (BIRD) Program in the UF-FSU Clinical and Translational Science Award (CTSA).
I am a Health Data Scientist with formal Computer Science and Biomedical Informatics training. My research lies at the intersection of Biomedical & Health Informatics, Computer Science, and Information Science. My research expertise includes deep learning, machine learning, natural language processing, ontologies, knowledge representation, and big data analytics. At FSU, I direct the eHealth Lab. The overarching goal of my research is to improve population health and advance biomedical research through the application of informatics and big data. As Principal Investigator, my research has been funded by the National Library of Medicine / NIH, National Institute on Aging / NIH, Agency for Healthcare Research and Quality (AHRQ), UF Clinical and Translational Science Insitute, Eli Lilly and Company, Amazon, NVIDIA, FSU Council on Research and Creativity, and Institute for Successful Longevity. I have served as a PI of an NIA/NIH R01 grant (APPT), an AHRQ R21/R33 grant (LabGenie), an NLM/NIH R21 grant (pediatric transplantation outcomes prediction), and an NIA/NIH R21 grant (clinical trial generalizability analysis). The total grant award I received since joining FSU in 2015 exceeds $15 million.
I received an MS from Columbia University in 2009 and a BS from Beijing University of Posts and Telecommunications in 2007, both in Computer Science. I received PhD in Computer Science from New Jersey Institute of Technology in 2014, where I worked with Dr. James Geller and Dr. Yehoshua Perl in the Structural Analysis of Biomedical Ontologies Center (SABOC). My doctoral thesis centers on quality assurance methodologies for controlled biomedical vocabularies - Unified Medical Language System (UMLS), SNOMED CT, and domain ontologies in BioPortal. Before joining FSU in Fall 2015, I was a Postdoctoral Research Scientist in the Department of Biomedical Informatics at Columbia University between 2014 and 2015, working with Dr. Chunhua Weng. In my postdoctoral research, I developed informatics methods to assess the collective population representativeness of clinical studies to improve the transparency of study generalizability to the real-world population. I received early promotion to Associate Professor with tenure from FSU in 2020. During my sabbatical year 2023-2024, I visited the National Center for Biotechnology Information, National Library of Medicine/NIH as a Guest Researcher. At NCBI, I studied biomedical natural language processing and text engineering using knowledge bases and large language models.
I have published over 120 papers in leading biomedical informatics venues including JAMIA, JBI, AIIM, JMIR, AMIA, and MEDINFO. My papers received a number of prestigious recognitions including (1) two Distinguished Paper Awards of AMIA 2015 and AMIA 2017 Annual Symposium (AMIA 2015 paper and AMIA 2017 paper), (2) 2nd Place Best Student Paper Award of AMIA 2019 Annual Symposium, (2) paper selection in "AMIA 2014 Informatics Year In Review" (AMIA 2013 paper), (3) finalists of the Student Paper Award of AMIA 2015 Summit on Clinical Research Informatics and MEDINFO 2015, and (4) paper selection in "Clinical Research Informatics 2016 Year in Review" (JBI 2016 and AMIA 2015 paper)
I have been actively serving the biomedical informatics community as an Editorial Board Member of PLOS ONE, BMC Medical Informatics and Decision Making, BMC Digital Health, Social Science Computer Review, and an Associate Editor of Smart Health (Elsevier) and Journal of Healthcare Informatics Research (JHIR). I am currently Chair-elect (2024) (Former Secretary 2020-2022, Vice Chair 2023) of AMIA Knowledge Discovery and Data Mining (KDDM) Working Group. I'm a regular reviewer for over 30 prestigious journals, including Nature Medicine, NPJ Digital Medicine (a sister journal of Nature), Journal of the American Medical Informatics Association (JAMIA), Journal of Biomedical Informatics (JBI), Artificial Intelligence in Medicine. I am General Chair of the 12th IEEE International Conference on Healthcare Informatics (ICHI 2024) and Program Chair of the Ninth IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE 2024). I have also chaired the International Workshop on Semantics-Powered Health Data Analytics (SEPDA) 6 times and served as a Program Committee Member in more than 40 academic conferences, including AMIA Annual Symposium, AMIA Informatics Summit, MEDINFO, and IEEE BIBM.
In 2014, I was inducted into Alpha Epsilon Lambda National Graduate and Professional Honor Society. In 2020, I joined Sigma Xi, the Scientific Research Honor Society. In 2022, I was inducted as a Fellow of the American Medical Informatics Association (FAMIA). I received the 2022 Lois Lunin Award from the Association for Information Science and Technology (ASIS&T). In 2023, I was elected as an IEEE Senior Member.
In my spare time, I am interested in photography and traveling. This is my Photography Studio.
Research Interests
Artificial Intelligence in Medicine
Clinical Trial Generalizability
Biomedical Ontologies and Controlled Vocabularies
eHealth Tools for Patient Engagement
Patients' Information Behavior
Clinical Research Informatics
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]
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. [Link] [PubMed] [Dataset Publication]
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]
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. PMCID: PMC5920146. [Link] [PubMed] [PMC]
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. [PDF] [PMC] (Distinguished Paper Award; three awards were selected from 105 accepted paper and 266 paper submissions) [Award Certificate] [Live Picture] [CCI News]
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.[ScienceDirect] [PubMed] [PDF]
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.594-602. PMID: 26958194 (Distinguished Paper Award News Article) [PDF] [PubMed]
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. [ScienceDirect] [PubMed] [PDF]
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 (AMIA 2014), November 15 - 19, 2014, Washington D.C. pp.1777-1786. PMID: 25954450. [PubMed] [PDF] [Talk Slides]
Consumer Health Informatics
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 vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study. Journal of Medical Internet Research. 2024. In press.
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]
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: 106631 (SSCI, Impact Factor: 5.003) [Free Access Link (till Jan 8, 2020) ]
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]
*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. [Link]
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]
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. PMID: 28359728 [PubMed] [ScienceDirect] [PDF]
Explainable AI / Machine Learning for Healthcare
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.
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.
*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. 2020; 27(7): 1173-1185. PMID: 32417928. [Free Access Link] [PubMed]
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. [Link]
*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. PMID: 31258994. PMCID: PMC6568097. (Finalist of the Student Paper Award) [Preprint] [AMIA] [PMC] (Media Report)
Quality Assurance of Biomedical Terminologies / Ontologies
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; 27(10): 1625-1638. (†: equal-contribution first authors) [Free Access Link]
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) [FSU CCI News] [ScienceDirect] [PubMed]
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 AMIA 2016 Annual Symposium. November 12-16, 2016. Chicago, IL. pp. 618-627. PMID: 28269858 [Talk Slides] [PMC]
Zhe He, James Geller, and Yan Chen. A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization. Artificial Intelligence in Medicine. 2015;64(1):29-40. PMID: 25890688. [ScienceDirect] [PDF] (Invited Talk at IHTSDO Implementation SIG Webinar [Slides] [Video]) (#14 Hottest Article April - June 2015)
Zhe He, Christopher Ochs, Ankur Agrawal, Yehoshua Perl, Dimitrios Zeginis, Konstantinos Tarabanis, Gai Elhanan, Michael Halper, Natasha Noy, and James Geller. A Family-Based Framework for Supporting Quality Assurance of Biomedical Ontologies in BioPortal. Proceedings of AMIA 2013 Annual Symposium (AMIA 2013) , November 16 - 20, 2013, Washington D.C. pp. 581-90. PMID: 24551360. [PubMed] [PDF] [Talk Slides] (Featured in "AMIA 2014 Year in Review")
James Geller, Zhe He*, Yehoshua Perl, C. Paul Morrey, and Julia Xu. Rule-based support system for multiple UMLS semantic type assignments. Journal of Biomedical Informatics, 2013;(46)1:97-110. PMID: 23041716. [ScienceDirect] [PubMed] [PDF] (Highly Accessed)
Honors and Awards
Elected as IEEE Senior Member, October 2023
2022 Lois Lunin Award. the Association for Information Science and Technology (ASIS&T), June 2022
2022 Outstanding Faculty Research Award, College of Communication & Information, Florida State University, April 2022
Best Interdisciplinary Research Award, 2021 Aging and Health Informatics Conference, December 2021
Fellow of American Medical Informatics Association (FAMIA), May 2022.
2021 Faculty Leader/Builder Award, College of Communication & Information, Florida State University, April 2021
Co-advisor and co-first author of the 2nd place paper in the Student Paper Competition, AMIA 2019 Annual Symposium, November 2019
2019 Outstanding Faculty Research Award, College of Communication & Information, Florida State University, April 2019
Advisor and co-author for student finalist in AMIA Informatics Summit Student Paper Competition, March 2019
Provost's Travel Grant (to present my paper in BIBM 2018), Florida State University, November 2018
Granted U.S. Permanent Residency under the category of "Aliens with Extraordinary Ability" (EB-1A), March 2018
FSU University-Wide Research Recognition Dinner Invitee, March 2018
Provost's Travel Grant (to present my paper in AMIA 2017), Florida State University, November 2017
Distinguished Paper Award of AMIA 2017 Annual Symposium, November 2017 [CCI News]
2017 Outstanding Faculty Research Award, College of Communication & Information, Florida State University, April 2017
Provost's Travel Grant (to present my paper in AMIA 2016), Florida State University, November 2016
Amazon Web Services Cloud Credits for Research, December 2016 - November 2017
Travel Grant, NSF South Big Data Hub, September 2016
Travel Grant, NIH Future Research Leaders Conference, Bethesda, MD, September 2016
Planning Grant, Institute for Successful Longevity, May 2016
Two Papers Featured in Clinical Research Informatics 2016 Year in Review, March 2016 [Link]
Runner Up, Most Interesting Preliminary Results Paper Award, iConference 2016, March 2016
Travel Grant, Transatlantic Data Science Workshop, Bethesda, MD March 1-2, 2016
Florida State University First Year Assistant Professor Grant, May - August, 2016
Distinguished Paper Award of AMIA 2015 Annual Symposium, November 2015 [News Article]
Amazon Web Services Education Research Grant Award, December 2015 - November 2016
Provost's Travel Grant (to present my paper in AMIA 2015), Florida State University, September 2015
MEDINFO 2015 Student Paper Award Nominee, August 2015
AMIA 2015 Summit on Clinical Research Informatics Student Paper Award Nominee, April 2015
One Paper Featured in the "2014 Informatics Year in Review", November 2014 [Link]
Top Poster Award, 2014 Columbia University Postdoc Research and Career Symposium (One of the three awards among over 50 postdoc presenters)
Outstanding Leader Award 2013 - 2014, New Jersey Institute of Technology (One award is given annually)
Distinguished College Graduate of Beijing (10 out of over 400 graduates majored in Computer Science at BUPT )
Delegate of China in the 7th China Synergy Programme for Outstanding Youth (Highly selective 48 college student delegates in mainland China)