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Health Services Research|November 22, 2024
Evaluating a predictive model of avoidable hospital events for race- and sex-based biasLeigh Goetschius, Ruichen Sun, Fei Han, et al.
Medical Care|August 5, 2024
Behind the Curtain: Comparing Predictive Models Performance in 2 Publicly Insured PopulationsRuichen Sun, Morgan Henderson, Leigh Goetschius, et al.
The American Journal of Managed Care|March 26, 2026
Predicting severe diabetes complications using administrative claims data in MarylandLeigh Goetschius, Danielle Barefoot, Fei Han, et al.
Health Services Research|October 14, 2021
Predicting avoidable hospital events in MarylandMorgan Henderson, Fei Han, Chad Perman, et al.
Journal of Applied Gerontology : the Official Journal of the Southern Gerontological Society|September 26, 2024
Behavioral, Cognitive, and Functional Risk Factors for Repeat Hospital Episodes Among Medicare-Medicaid Dually Eligible Adults Receiving Long-Term Services and SupportsOludolapo Fakeye, Prashant Rana, Fei Han, et al.
Journal of General Internal Medicine|November 28, 2022
Predicting Hospital Readmissions in a Commercially Insured Population over Varying Time HorizonsMorgan Henderson, Jon Mark Hirshon, Fei Han, et al.
The American Journal of Managed Care|July 19, 2022
Designing optimal recommended budgeting thresholds for a Medicaid programMorgan Henderson, Ian Stockwell
Social Science & Medicine (1982)|May 8, 2023
Assessing performance of ZCTA-level and Census Tract-level social and environmental risk factors in a model predicting hospital eventsLeigh G Goetschius, Morgan Henderson, Fei Han, et al.
Healthcare Informatics Research|November 20, 2025
Identifying Patterns of Depression Comorbidities Using Association Rule Learning: Insights from Maryland Medicaid DataFei Han, Christine Gill, Elizabeth Blake, et al.
Sensors (Basel, Switzerland)|April 13, 2023
DiffNILM: A Novel Framework for Non-Intrusive Load Monitoring Based on the Conditional Diffusion ModelRuichen Sun, Kun Dong, Jianfeng Zhao
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