activity
20242026
most citedAZT1D: A Real-World Dataset for Type 1 Diabetes

1 citations · 1 across the 3 of their papers we have counts for

collaborators

7 papers

cs.LG2026

GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

Saman Khamesian, Sri Harini Balaji, Di Yang Shi +5

Type 1 Diabetes (T1D) management requires continuous adjustment of insulin and lifestyle behaviors to maintain blood glucose within a safe target range. Although automated insulin…

cs.LG20251 cited

AZT1D: A Real-World Dataset for Type 1 Diabetes

Saman Khamesian, Asiful Arefeen, Bithika M. Thompson +2

High quality real world datasets are essential for advancing data driven approaches in type 1 diabetes (T1D) management, including personalized therapy design, digital twin systems…

cs.LG2025

AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence

Abdullah Mamun, Diane J. Cook, Hassan Ghasemzadeh

Adherence to prescribed treatments is crucial for individuals with chronic conditions to avoid costly or adverse health outcomes. For certain patient groups, intensive lifestyle in…

cs.LG2025

LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet

Abdullah Mamun, Asiful Arefeen, Susan B. Racette +4

Postprandial hyperglycemia, marked by the blood glucose level exceeding the normal range after consuming a meal, is a critical indicator of progression toward type 2 diabetes in pe…

cs.AI2025

NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence

Saman Khamesian, Asiful Arefeen, Stephanie M. Carpenter +1

Maintaining a balanced diet is essential for overall health, yet many individuals struggle with meal planning due to nutritional complexity, time constraints, and lack of dietary k…

cs.LG2024

Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions

Abdullah Mamun, Krista S. Leonard, Megan E. Petrov +2

Objective: This research aims to develop a lifestyle intervention system, called MoveSense, that forecasts a patient's activity behavior to allow for early and personalized interve…