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Ageing Research Reviews|October 6, 2024
Advances of artificial intelligence in predicting frailty using real-world data: A scoping reviewChen Bai, Mamoun T MardiniJournal of Medical Systems|January 26, 2019
A Survey of Healthcare Monitoring Systems for Chronically Ill Patients and ElderlyMamoun T Mardini, Youssef Iraqi, Nazim AgoulmineSensors (Basel, Switzerland)|October 13, 2021
Using Smartwatches to Detect Face TouchingChen Bai, Yu-Peng Chen, Adam Wolach, et al.Frontiers in Cardiovascular Medicine|June 4, 2024
An explainable machine learning approach using contemporary UNOS data to identify patients who fail to bridge to heart transplantationMamoun T Mardini, Chen Bai, Maisara Bledsoe, et al.JMIR Mental Health|February 12, 2025
Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and ValidationMamoun T Mardini, Georges E Khalil, Chen Bai, et al.Sensors (Basel, Switzerland)|April 23, 2022
Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?Chen Bai, Amal A Wanigatunga, Santiago Saldana, et al.AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep LearningMamoun T Mardini, Subhash Nerella, Amal A Wanigatunga, et al.Sensors (Basel, Switzerland)|June 2, 2021
Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine LearningMamoun T Mardini, Chen Bai, Amal A Wanigatunga, et al.Shock (Augusta, Ga.)|October 30, 2025
Survivors of Surgical Sepsis Demonstrate Poor Long-Term Free-Living Physical Activity LevelsRobert T Mankowski, Todd M Manini, Scott C Brakenridge, et al.JMIR Mhealth and Uhealth|May 3, 2021
The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation StudyAnis Davoudi, Mamoun T Mardini, David Nelson, et al.Pageof 3