Research Interests: Transition from acute to chronic pain, prevention of problematic opioid use, impact of comorbid mental health factors
Methodological Interests: Natural language processing, machine learning, big data analytics
Song, J., Kim, S.H., Lee, Y., Hobensack, M., Song, H. & Landau, A.Y (2025) Do Behavioral Health Referrals in Patients with Substance Use Disorder Reflect Patient Needs, or Clinician Avoidance as Expressed Through Unprofessional Language Use?: A LLM-augmented, Human-validated Natural Language Processing Approach. Manuscript under review for publication at Journal of the American Medical Informatics Association (JAMIA)
Cheatle, M., Lee, Y., Kass, G., Zhu, J., & Rizvi, S. (2025) Pain, Substance Use Disorders and Suicide: A Scoping Review of the Literature. Manuscript under review for publication
Lee, Y., Polomano, R., Schmidt, H., Min, J., & Compton, P. (2025) Patient-related risk factors for new persistent opioid use after surgery among opioid-naïve individuals in the United States: A systematic review and meta-analysis. Pain Medicine. Published online December 26, 2025. doi:10.1093/pm/pnaf182
[PennNuring] [NewsWise] [Bioengineering.org] [EurekAlert!] [Medical Xpress]
Davis, C., Lee, Y., & Cheatle, M. (2025) Prediction of opioid use disorder among patients with chronic non-cancer pain receiving long-term opioid therapy. Pain Medicine. Published online December 22, 2025. doi:10.1093/pm/pnaf161
Han, H. R., Lee, Y., Min, D., Chepkorir, J., Hwang, D. A., & Chae, S. (2025). Web-Based Delivery of an Effective Church-Based Intervention Program to Promote Cancer Screening (Community-based Health litEracy-focused intervention for breast and cervical Cancer Control) among Korean Immigrant Women in the United States: Randomized Controlled Trial. JMIR human factors, 12, e66092. https://doi.org/10.2196/66092
Lee, Y., Giordano, N., Compton, P., Tang, N. K. Y., Polomano, R., & Cheatle, M. (2025). Correlates of mental defeat in patients with chronic non-cancer pain who did and did not develop opioid use disorder. Pain Medicine. PMID: 40341399.
Han, H.-R., Lee, Y., Lee, J., Sun, C. A., Dapaah-Gyimah, O., Ling, C., Wilson, P., & Slade, E. (2025). Types and cost of wellness services provided by a neighborhood-based academic nursing center. Frontiers in Public Health, 12, 1477436.
Lee, Y., Bettick, D., & Rosenberg, C. (2024). Improving pain self-efficacy in orthopedic surgery patients through video-based education: A quality improvement project. Pain Management Nursing, 25(5), 451–458. https://doi.org/10.1016/j.pmn.2024.04.008
Lee, Y., & Rosenberg, C. (2023). Improving perioperative pain education for patients prescribed opioids: An integrative review. Pain Management Nursing, 24(5), 479–485. https://doi.org/10.1016/j.pmn.2023.04.009
Wright, R., Lee, Y., Yoo, A., McIltrot, K., VanGraafeiland, B., Saylor, M. A., Taylor, J., & Han, H.-R. (2022). Doctor of nursing practice project: Key challenges and possible solutions. Journal of Professional Nursing, 41, 53–57. https://doi.org/10.1016/j.profnurs.2022.04.004
Chae, S., Lee, Y., & Han, H.-R. (2021). Sources of health information, technology access, and use among non–English-speaking immigrant women: Descriptive correlational study. Journal of Medical Internet Research, 23(10), e29155. https://doi.org/10.2196/29155
Lee, Y., Hwang, S., Schmidt, H.D., Compton, P.A., Polomano, R.C., & Mowery, D. A Natural Language Processing Approach to Detecting Unhealthy Opioid Use Patterns Among Patients Prescribed Opioids After Arthroplasty. Oral presentation, 2026 The College on Problems of Drug Dependence (CPDD) Annual Scientific Meeting, Portland, June 2026.
Lee, Y., Hwang, S., Schmidt, H.D., Compton, P.A., Polomano, R.C., & Mowery, D. Natural Language Processing Approach to Detect Unhealthy Opioid Use Patterns After Arthroplasty: Annotation-driven Pipeline and Cross-Dataset Application. Poster presentation, 2026 United States Association for the Study of Pain (USASP) Annual Scientific Meeting, Philadelphia, March 26 - 28, 2026.
Cheatle, M., Lee, Y., Kass, G., Zhu, J., & Rizvi, S. Pain, Substance Use Disorders and Suicide: A Scoping Review of the Literature. Poster presentation, 2026 USASP Annual Scientific Meeting, March 26 - 28, 2026
Song, J., Kim, S. H., Lee, Y., Hobensack, M., & Landau, A. Beyond traditional expert knowledge-based keyword lists: Enhancing unprofessional language use detection in clinical notes of patients with substance use disorders with LLM-driven rules. Podium presentation at the American Medical Informatics Association 2025 Annual Symposium, Atlanta, GA. Nov 15 - 19, 2025
Lee, Y., Polomano, R.C., Schmidt, H.D., Min, J.,& Compton, P.A. Patient-Related Predictors of New Persistent Opioid Use Following Surgery: A Systematic Review and Meta-Analysis. Poster presentation, ASPMN 35th National Conference, Aurora, Colorado. October 15 - 18, 2025 (Recipient of the ASPMN Research Grant)
Lee, Y., Davis, C., Compton, P.A., Polomano, R.C., & Cheatle, M., Machine Learning-Driven Predictive Modeling for Opioid Use Disorder in Chronic Pain Patients on Long-Term Opioid Use. 2025 USASP Annual Scientific Meeting, Poster presentation, Chicago, IL, April 30 - May 2, 2025 (Recipient of the Travel Award)
Lee, Y., Polomano, R.C., Schmidt, H.D., & Compton, P.A. Predictors of New Persistent Opioid Use After Surgery Among Opioid-Naïve Individuals in the United States. ENRS 37th Annual Scientific Sessions, Poster presentation, Philadelphia, PA, April 3-4, 2025 (ENRS Poster Award - Individual School-Nominated Category)
Lee, YJ., Giordano, N., Compton, P., Polomano, R., & Cheatle, M. Psychological predictors of mental defeat in patients with chronic non-cancer pain who did and did not develop opioid use disorder. 2024 American Society for Pain Management Nursing Annual Conference, San Antonio, TX. October 16 - October 19, 2024. (Recipient of the Jean Guveyan Scholarship)
Han, HR., Lee, YJ., Lee J., Sun, CA., Dapaah-Gyimah, O., Ling, C., Wilson, P., & Slade, E. Mobilizing a neighborhood-based academic nursing center to provide wellness services to populations in need: A cost analysis and lessons learned. AcademyHealth Annual Research Meeting, Baltimore, MD. June 29 - July 2, 2024.
Han, HR., Lee, YJ., Min, D., Chepkorir, J., & Hwang, A. e-CHECC-uP—Web-based delivery of an effective church-based intervention program to promote cancer screening among Korean immigrant women in the United States. AcademyHealth Annual Research Meeting, Baltimore, MD. June 29 - July 2. 2024
Updated in Jan, 2026