7 citations · 16 across the 9 of their papers we have counts for
9 papers
Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability
Abdullah Mamun, Shovito Barua Soumma, Hassan Ghasemzadeh
Ensuring trust in AI systems is essential for the safe and ethical integration of machine learning systems into high-stakes domains such as digital health. Key dimensions, includin…
Comprehensive Dataset and Signal Processing Framework for Phonocardiogram-Based Heart Rate and Blood Pressure Estimation
Abdul Ahad Mamun, Utsab Saha, Md Hasibul Hasan +2
Cardiovascular diseases (CVDs) represent significant global health challenges today, necessitating regular and reliable monitoring to enable early intervention. Phonocardiogram (PC…
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals
Sanyam Paresh Shah, Abdullah Mamun, Shovito Barua Soumma +1
Metabolic Syndrome (MetS) is a cluster of interrelated risk factors that significantly increases the risk of cardiovascular diseases and type 2 diabetes. Despite its global prevale…
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…
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…
Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
Shovito Barua Soumma, S M Raihanul Alam, Rudmila Rahman +4
Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease that impairs mobility and safety by increasing the risk of falls. An effective FOG detection system must be…
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…
Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health
Abdullah Mamun, Lawrence D. Devoe, Mark I. Evans +3
Early detection of intrapartum risks enables timely interventions to prevent or mitigate adverse labor outcomes such as cerebral palsy. However, accurate automated systems to suppo…
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence
Parker Seegmiller, Joseph Gatto, Abdullah Mamun +4
Prescription medications often impose temporal constraints on regular health behaviors (RHBs) of patients, e.g., eating before taking medication. Violations of such medical tempora…