Lee, Kyung Hee
Associate Professor
Biography
Dr. Kyung Hee Lee is a social data scientist specializing in leisure, public health, and preventive medicine. His research examines how social and environmental determinants—including social vulnerability, lifestyle, residential segregation, and park proximity—shape health outcomes such as physical inactivity, mental health, and obesity. Using large-scale datasets such as All of Us, HRS, CDC, ACS, and the U.S. Census, he applies advanced analytical methods including Geographically Weighted Regression (GWR), repeated LASSO regression, and network-based multiple mediation analysis to investigate how leisure access influences public health, particularly in underserved communities.
Since 2020, Dr. Lee has collaborated with clinicians and health data scientists to translate these findings into individual-level interventions, developing AI- and machine learning–driven cancer risk prediction models that integrate electronic health records (EHRs) with lifestyle and patient-reported data. His work focuses on creating new analytical methods and adapting approaches traditionally used in medicine and public health to the social sciences.
He also serves as an Associate Editor for Leisure Sciences and the International Journal of Tourism Sciences. In his teaching, Dr. Lee emphasizes the use of emerging AI technologies and secondary data, guiding students to explore how these tools can be applied in leisure and recreation to support more effective program management and risk management.
More about Kyung Hee Lee
Publications & Presentations
Dr. Lee’s publications have been cited over 1,000 times. Selected representative works include:
AI / Machine Learning–Driven Prediction Models for Cancer
- Lee, K. H*., Alemi, F., Wang, X., & Schwartz, M. (2025). The United States Preventive Services Task Force (USPSTF) Guidelines vs. Electronic Health Record (EHR)-Based Screening: A Comparative Accuracy Study in Prostate Cancer. Cureus, 17(7).
- Alemi, F., & Lee, K. H*. (2025). USPSTF Dismisses Predictive Medicine and Data Science. Quality Management in Healthcare, 34(2), 147–148.
- Lee, K. H*., Alemi, F., & Wang, X. (2025). EHR-Based Risk Prediction for Kidney Cancer. Quality Management in Healthcare, 34(2), 186–192.
Time-Constrained Multiple Mediation Analysis for Preventive Medicine
- Alemi, F., Venu, V. S., Madduru, S. C. N., & Lee, K. H. (2025). Tutorial on Multiple Mediation Analysis Using Causal Networks: Application to Diagnosing COVID-19 From Its Early and Late Symptoms. Quality Management in Healthcare. Advance online publication.
- Alemi, F., Lee, K. H*., Vang, J., Lee, D., & Schwartz, M. (2023). Social and medical determinants of diabetes: A time-constrained multiple mediator analysis. Cureus, 15(9).
- Lee, K. H*., Alemi, F., Yu, J. V., & Hong, Y. A. (2023). Social determinants of COVID-19 vaccination rates: A time-constrained multiple mediation analysis. Cureus, 15(2).
- Alemi, F., & Lee, K. H*. (2023). Impact of political leaning on COVID-19 vaccine hesitancy: A network-based multiple mediation analysis. Cureus, 15(8).
Spatial Disparities in Leisure, Recreation, and Public Health
- Lee, K. H*., Lee, S., Ryu, J., Chun, S., & Heo, J. (2023). Geographically varying associations between mentally unhealthy days and social vulnerability in the USA. Public Health, 222, 13–20.
- Lee, K. H*. (2020). Mental health and recreation opportunities. International Journal of Environmental Research and Public Health, 17(24), 9338.
- Lee, K. H*., Heo, J., Jayaraman, R., & Dawson, S. (2019). Proximity to parks and natural areas as an environmental determinant of spatial disparities in obesity prevalence. Applied Geography, 112, 102074.
Credentials, Certifications & Awards
Geographic Information Systems (GIS) Certification, Texas A&M University
Spatial Statistical Analysis (Advanced) Certification, Korea Social Science Data Archive
Big Data & Machine Learning for Social Scientists Certification, Korea Social Science Data Archive
Education
Ph.D. , Recreation Park and Tourism Sciences, Texas A&M University.
MA, Urban and Regional Planning, Seoul National University.
Research Interests
AI-driven Prediction modeling for Cancer Health Equity
Social/Environmental Justice
Big data analytics in Electronic Health Record
Geo-spatial analytics in recreation service provision and accessibility
Membership in Professional Organizations
Academy of Health
American Association of Geographers
Academy Of Leisure Sciences
Courses Taught
RPL 518 Research & Philosophy in RPL
RPL 511 Liability and Risk Management in Leisure Services
RPL 307 Management Skills in Leisure Services