Mamoun Mardini

Mamoun Mardini, Ph.D.

Assistant Professor

Department: MD-HOBI-BIOMED INFORMATICS
Business Phone: (352) 273-8962
Business Email: malmardini@ufl.edu

About Mamoun Mardini

Dr. Mardini is an Assistant Professor in the Department of Health Outcomes and Biomedical Informatics at the University of Florida (UF). He is a trained computer scientist and engineer with research expertise in applied artificial intelligence and wearable technology in healthcare

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Teaching Profile

Courses Taught
2020-2024
GMS6905 Independent Studies in Medical Sciences
2020-2021
GMS6893 Clinical and Translational Science Seminar Series
2022-2024
GMS6495 Seminar in Physiology
2022
GMS6808 GeronTechnology
2022-2023
GMS6803 Data Science for Clinical Research

Research Profile

Dr. Mardini’s research interests lie in using data science approaches and wearable technology to improve healthcare. This plan is significant because it is highly responsive and in line with the National Institutes of Health (NIH) vision for artificial intelligence: “the NIH is dedicated to harnessing the potential of the computational and quantitative sciences to elevate the impact and efficiency of biomedical research”

Dr. Mardini is directing the GeronTechnology lab that aims to employ data science and wearable technology to extract insightful knowledge from data & solve age-related health problems. Dr. Mardini is mainly interested in pursuing two research directions. The first focuses on mining electronic health records (EHR) to build evidence-based platforms that can aid in clinical decision-making. This research can help facilitate the communication between patients and clinicians to maximize benefit and minimize hurt.

The second direction focuses on building a digital phenotyping framework that can facilitate data collection from personally-held devices, such as smartwatches. This direction has great impact on understanding individuals’ behaviors momentarily in their real-life environment (a.k.a. ecological momentary assessment) and allowing clinicians to intervene quickly.

Note: I am always looking for motivated students and postdocs to join my research lab. Drop me a brief email about your background and your research interests

Open Researcher and Contributor ID (ORCID)

0000-0002-5345-8811

Areas of Interest
  • Artificial Intelligence
  • Digital Health
  • frailty
  • mHealth

Publications

2024
An explainable machine learning approach using contemporary UNOS data to identify patients who fail to bridge to heart transplantation.
Frontiers in cardiovascular medicine. 11 [DOI] 10.3389/fcvm.2024.1383800. [PMID] 38832313.
2024
Cannabis use and acute postoperative pain outcomes in older adults: a propensity matched retrospective cohort study.
Regional anesthesia and pain medicine. [DOI] 10.1136/rapm-2024-105633. [PMID] 38950932.
2024
Cannabis Use and Inhalational Anesthesia Administration in Older Adults: A Propensity Matched Retrospective Cohort Study.
Anesthesiology. [DOI] 10.1097/ALN.0000000000005146. [PMID] 38980341.
2024
Predictors of left atrial appendage thrombus in atrial fibrillation patients undergoing cardioversion.
Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing. [DOI] 10.1007/s10840-024-01868-x. [PMID] 38995603.
2023
A Natural Language Processing Algorithm for Classifying Suicidal Behaviors in Alzheimer’s Disease and Related Dementia Patients: Development and Validation Using Electronic Health Records Data.
medRxiv : the preprint server for health sciences. [DOI] 10.1101/2023.07.21.23292976. [PMID] 37546764.
2023
Artificial intelligence guidance of advanced heart failure therapies: A systematic scoping review.
Frontiers in cardiovascular medicine. 10 [DOI] 10.3389/fcvm.2023.1127716. [PMID] 36910520.
2023
Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes
Journal of the American Medical Informatics Association. 30(8):1418-1428 [DOI] 10.1093/jamia/ocad080. [PMID] 37178155.
2023
Feasibility of a Smartwatch Platform to Assess Ecological Mobility: Real-Time Online Assessment and Mobility Monitor.
The journals of gerontology. Series A, Biological sciences and medical sciences. 78(5):821-830 [DOI] 10.1093/gerona/glad046. [PMID] 36744611.
2023
Machine learning-based prediction models for home discharge in patients with COVID-19: Development and evaluation using electronic health records.
PloS one. 18(10) [DOI] 10.1371/journal.pone.0292888. [PMID] 37862334.
2023
Utilization of the percutaneous left ventricular support as bridge to heart transplantation across the United States: In-depth UNOS database analysis.
The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation. 42(11):1597-1607 [DOI] 10.1016/j.healun.2023.06.002. [PMID] 37307906.
2022
Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?
Sensors. 22(8) [DOI] 10.3390/s22083061. [PMID] 35459045.
2022
Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults.
AMIA … Annual Symposium proceedings. AMIA Symposium. 2022:212-220 [PMID] 37128363.
2022
Discovering Primary Medical Procedures and their Associations with Other Procedures in HCUP Data
Information Systems Frontiers. 24(1):133-147 [DOI] 10.1007/s10796-020-10058-9.
2022
Using Machine Learning To Define the Impact of Beta-Lactam Early and Cumulative Target Attainment on Outcomes in Intensive Care Unit Patients with Hospital-Acquired and Ventilator-Associated Pneumonia
Antimicrobial Agents and Chemotherapy. 66(7) [DOI] 10.1128/aac.00563-22. [PMID] 35699444.
2022
Worsening sleep predicts lower life space mobility during the onset of the COVID-19 pandemic.
Journal of the American Geriatrics Society. 70(7):1931-1938 [DOI] 10.1111/jgs.17896. [PMID] 35608359.
2021
Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning
Sensors. 21(10) [DOI] 10.3390/s21103352. [PMID] 34065906.
2021
Prevalence and characteristics of self-reported hypothyroidism and its association with nonorgan-specific manifestations in US sarcoidosis patients: a nationwide registry study
ERJ Open Research. 7(1):00754-2020 [DOI] 10.1183/23120541.00754-2020. [PMID] 33816601.
2021
Satisfaction, Usability, and Compliance With the Use of Smartwatches for Ecological Momentary Assessment of Knee Osteoarthritis Symptoms in Older Adults: Usability Study
JMIR Aging. 4(3) [DOI] 10.2196/24553. [PMID] 34259638.
2021
The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study
JMIR mHealth and uHealth. 9(5) [DOI] 10.2196/23681. [PMID] 33938809.
2021
The Temporal Relationship Between Ecological Pain and Life-Space Mobility in Older Adults With Knee Osteoarthritis: A Smartwatch-Based Demonstration Study
JMIR mHealth and uHealth. 9(1) [DOI] 10.2196/19609. [PMID] 33439135.
2021
Using Smartwatches to Detect Face Touching
Sensors. 21(19) [DOI] 10.3390/s21196528. [PMID] 34640848.
2020
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning.
AMIA … Annual Symposium proceedings. AMIA Symposium. 2020:803-812 [PMID] 33936455.
2020
Innovations in Geroscience to enhance mobility in older adults.
Experimental gerontology. 142 [DOI] 10.1016/j.exger.2020.111123. [PMID] 33191210.
2019
A Survey of Healthcare Monitoring Systems for Chronically Ill Patients and Elderly
Journal of Medical Systems. 43(3) [DOI] 10.1007/s10916-019-1165-0.

Grants

Apr 2024 ACTIVE
Intelligent Bridging to Heart Transplantation (IBOT): a platform for personalized circulatory support planning
Role: Co-Investigator
Funding: AMER HEART ASSOCIATION
Jan 2023 – Aug 2023
2023 Summer Conference on Applied Data Science (SCADS)
Role: Principal Investigator
Funding: NORTH CAROLINA STATE UNIV via US DEPT OF DEFENSE
Apr 2022 ACTIVE
Wearable Technology Infrastructure to Enhance Capacity for Real-Time, Online Assessment and Mobility (ROAMM) of Intervening Health Events in Older Adults
Role: Co-Investigator
Funding: NATL INST OF HLTH NIA
Jun 2020 – May 2023
Coordinating Center of the Claude D. Pepper Older Americans Independence Centers
Role: Co-Investigator
Funding: WAKE FOREST UNIV via NATL INST OF HLTH NIA
Mar 2019 – Feb 2022
Wearable Technology Infrastructure to Enhance Capacity for Real-Time, Online Assessment and Mobility (ROAMM) of Intervening Health Events in Older Adults
Role: Co-Investigator
Funding: NATL INST OF HLTH NIA
Apr 2017 – Mar 2022
University of Florida Claude D. Pepper Older Americans Independence Center (OAIC)
Role: Project Manager
Funding: NATL INST OF HLTH NIA

Education

Ph.D. Computer Science
2018 · University of North Carolina
M.S. Computer Engineering
2013 · American University of Sharjah
B.S. Computer Engineering
2009 · Jordan University of Science and Technology

Contact Details

Phones:
Business:
(352) 273-8962
Emails:
Business:
malmardini@ufl.edu
Addresses:
Business Mailing:
PO Box 100147
GAINESVILLE FL 32610
Business Street:
1889 MUSEUM RD STE 7000 FL 7
GAINESVILLE FL 32611