Mamoun T. Mardini

Assistant Professor at Health Outcomes and Policy, University of Florida0 Followers

Dr. Mamoun T. Mardini is an advocate for innovation in healthcare through the integration of data science and wearable technology. As an Assistant Professor in the Health Outcomes and Biomedical Informatics Department at the University of Florida, he is at the forefront of research that leverages electronic health records and wearable data to extract meaningful insights, particularly in the realm of age-related health issues. Dr. Mardini leads the GeronTechnology Lab, a pioneering initiative that focuses on translating complex data into actionable knowledge to improve healthcare outcomes. His work is instrumental in advancing the field of health informatics, with a particular emphasis on digital phenotyping and the application of artificial intelligence in clinical decision-making. With a Ph.D. in Computer Science from the University of North Carolina, Dr. Mardini brings a wealth of expertise to his research endeavors. His interests span across various domains, including clinical decision-making, electronic health records, digital phenotyping, and the use of wearable technology in healthcare. His contributions are pivotal in shaping the future of gerontechnology and enhancing the quality of life for the aging population. Dr. Mardini's commitment to innovation and excellence in research has positioned him as a leading figure in the field of health informatics. His work not only addresses current healthcare challenges but also paves the way for future advancements in the integration of technology and healthcare.

Research Interests

Clinical decision-making electronic health records digital phenotyping data science wearable technology health informatics gerontechnology artificial intelligence age-related health issues healthcare innovation

Publications

1 - Detecting Face Touching Using Smartwatches to Mitigate the Spread of COVID-19: Pilot Study (Preprint),

Chen Bai , Yu-Peng Chen , Adam Wolach , Lisa Anthony , Mamoun Mardini ,

, 2021-03-15

2 - The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study (Preprint),

Anis Davoudi , Mamoun T Mardini , David Nelson , Fahd Albinali , Sanjay Ranka , Parisa Rashidi , Todd M Manini ,

, 2020-08-19

3 - The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study,JMIR mHealth and uHealth

Anis Davoudi , Mamoun T Mardini , David Nelson , Fahd Albinali , Sanjay Ranka , Parisa Rashidi , Todd M Manini ,

, e23681, 2021-05-03

4 - Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study,JMIR Aging

Mamoun T Mardini , Chen Bai , Anthony A Bavry , Ahmed Zaghloul , R David Anderson , Catherine E Crenshaw Price , Mohammad A Z Al-Ani ,

, e58980-e58980, 2024-11-27

5 - Abstract 11621: Impact of Data Reporting on Outcome Analyses of Intra-Aortic Balloon Pump versus Impella Devices in Bridging Adult Heart Transplant Patients,Circulation

Jeremy Balch , Chen Bai , Benjamin Shickel , Mamoun Mardini , Mohammad A Al-Ani ,

, 2023-11-07

6 - Abstract 4140505: Sex-Based Disparities in the Care of Syncope Patients in the United States Using a National Database,Circulation

Priyanka Devaguptapu , Chen Bai , John Petersen , Madeline Smoot , Emily Edwards , Sujay Kamisetty , Mamoun Mardini , Mohammed Ruzieh ,

, 2024-11-12

7 - Machine learning-based prediction models for home discharge in patients with COVID-19: Development and evaluation using electronic health records,PLOS ONE

Ruben D. Zapata , Shu Huang , Earl Morris , Chang Wang , Christopher Harle , Tanja Magoc , Mamoun Mardini , Tyler Loftus , François Modave ,

, e0292888, 2023-10-20

8 - Identifying Adolescent Depression and Anxiety through Real-world Data and Social Determinants of Health (Preprint),

Mamoun T. Mardini , Georges E. Khalil , Chen Bai , Aparna M. DivaKaran , Jessica M. Ray ,

, 2024-09-19

9 - Abstract 11294: Rates of Testing in Syncope Patients in the United States Using a National Database,Circulation

Madeline Smoot , Chen Bai , Emily S Edwards , Osama Dasa , John W Petersen , Stephen E Kimmel , Mamoun T Mardini , Mohammed Ruzieh ,

, 2022-11-08

10 - INSTABILITY OF ECOLOGICALLY DERIVED MOOD, PAIN, AND FATIGUE SYMPTOMS IN OLDER ADULTS: THE ROAMM STUDY,Innovation in Aging

Erta Cenko , Emily Smail , Roger Fillingim , Mamoun Mardini , Sanjay Ranka , Yashaswi Karnati , Jordan Alpert , Todd Manini ,

, 626-627, 2022-11-01

11 - Worsening sleep predicts lower life space mobility during the onset of the COVID‐19 pandemic,Journal of the American Geriatrics Society

Emily J. Smail , Christopher N. Kaufmann , Kira E. Riehm , Mamoun T. Mardini , Erta Cenko , Chen Bai , Todd M. Manini ,

, 1931-1938, 2022-05-26

12 - Employing Machine Learning to Estimate Hallmark Measures of Physical Activities from Wrist-worn Devices Across Age Groups,

Mamoun T. Mardini , Chen Bai , Amal A. Wanigatunga , Santiago Saldana , Ramon Casanova , Todd M. Manini ,

, 2021-03-12

13 - Abstract 11339: Rates of Hospital Admissions for Syncope in the United States Using a National Database,Circulation

Emily S Edwards , Chen Bai , Madeline Smoot , Osama Dasa , John W Petersen , Stephen Kimmel , Mamoun Mardini , Mohammed Ruzieh ,

, 2022-11-08

14 - Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?,Sensors

Chen Bai , Amal A. Wanigatunga , Santiago Saldana , Ramon Casanova , Todd M. Manini , Mamoun T. Mardini ,

, 3061, 2022-04-15

15 - Using Smartwatches to Detect Face Touching,Sensors

Chen Bai , Yu-Peng Chen , Adam Wolach , Lisa Anthony , Mamoun T. Mardini ,

, 6528, 2021-09-30

16 - Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning,Sensors

Mamoun T. Mardini , Chen Bai , Amal A. Wanigatunga , Santiago Saldana , Ramon Casanova , Todd M. Manini ,

, 3352, 2021-05-12

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