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cs.LG2026
Improving Patient Subtyping on Longitudinal Data using Representations from Mamba-based Architecture
Md Mozaharul Mottalib, Rahmatollah Beheshti
Effective sub-typing (also known as grouping or clustering) of patients using their electronic health record (EHR) data can greatly inform precision medicine efforts. However, subt…
cs.LG2025★ 1 cited
HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning
Md Mozaharul Mottalib, Thao-Ly T. Phan, Rahmatollah Beheshti
Electronic health Records (EHRs) have become a cornerstone in modern-day healthcare. They are a crucial part for analyzing the progression of patient health; however, their complex…
cs.LG2024
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation
Hamed Fayyaz, Mehak Gupta, Alejandra Perez Ramirez +4
Reliable prediction of pediatric obesity can offer a valuable resource to providers, helping them engage in timely preventive interventions before the disease is established. Many…