Northwestern Events Calendar

May
20
2022

Northwestern Pepper Center Rounds: Developing an EHR-Based Frailty Index Using Machine Learning Approaches

When: Friday, May 20, 2022
12:00 PM - 1:00 PM CT

Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students

Contact: Micah Robert Rahman-Enyart  

Group: Med - Rheum - FIRST-DailyLife

Sponsor: Northwestern Pepper Center

Category: Lectures & Meetings

Description:

The Center for Applied Health Research on Aging (CAHRA) and the Northwestern Pepper Center are pleased to present Pepper Rounds. Pepper Rounds are a venue to showcase high-quality research from scholars across the Claude D. Pepper Older Americans Independence Centers network. Please join us!

Join Us

Friday, May 20
12:00 p.m. CT

Register here for the Zoom link. 

Guest Speaker

Mamoun Mardini, PhD
Assistant Professor

Department of Health Outcomes and Biomedical Informatics   

College of Medicine

University of Florida 

Mamoun Mardini, PhD, 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 an engineer with research expertise in applied artificial intelligence and wearable technology in healthcare. He is a member of the Data Science and Applied Technology Core in the University of Florida (UF) Claude D. Pepper Older Americans Independence Center (OAIC). Mardini is currently involved in interdisciplinary projects that combine biomedical science, artificial intelligence and wearable technology. He received a scholarship from the National Institute on Aging OAIC to develop an electronic health records-based frailty index using machine learning approaches. He also received seed funding from the UF Informatics Institute to develop a smartwatch application to detect face touching and mitigate the spread of COVID-19. Additionally, he plays an essential role in the development of the ROAMM framework (real-time online assessment and mobility monitor), which leverages wearable technology for continuous and long-term monitoring to capture information surrounding intervening health events (IHE) such as falls. Finally, Mardini has utilized his artificial intelligence expertise to analyze various medical datasets concerning hospital re-admission, physical activity recognition, heart transplant, chest pain, sarcoidosis, sepsis and COVID-19.

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