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Topic

AI and Machine Learning to Support and Improve Health Among African American and Hispanic Dementia Caregivers

Description

Yoon will present her recent AI and machine learning projects to support and improve health among African American and Hispanic dementia caregivers using Twitter and public population-level data. Yoon will briefly discuss the lessons learned, challenges and potential solutions for executing AI and machine learning projects.

Time

Nov 18, 2020 12:00 PM in Pacific Time (US and Canada)

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Message preview	Hi there, You are invited to a Zoom webinar. When: Nov 18, 2020 12:00 PM Pacific Time (US and Canada) Topic: AI and Machine Learning to Support and Improve Health Among African American and Hispanic Dementia Caregivers Register in advance for this webinar: https://us02web.zoom.us/webinar/register/WN_eTJGR79oQQOjeHo0QNSzBA After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Sunmoo Yoon (AI and ML to Support and Improve Health Among African American Caregivers @Magnimind, Inc.) Yoon is an associate research scientist at Columbia University, Department of Medicine, Division of General Medicine and affiliated faculty at Data Science Institute. Yoon is a Principal Investigator of ‘Using Twitter to Enhance the Social Support of Hispanic and Black Dementia Caregivers (Tweet-S2)’ supported by National Institute on Aging. Yoon completed pre and postdoctoral training in informatics and data science at Columbia University. Yoon’s research focuses on using visualization and data science for health to reduce health disparities. Yoon is a pioneer of developing an analytic framework for Twitter i n 2010 applying natural language processing and social network analysis when Twitter was 4-year-old. Her work analyzing Ebola Tweets has been recognized as a ground breaking finding by other disciplines including business and pharmacology with 40 over international media outlets including cNBC, Slate, and Economic Times. Yoon received the best paper award applying ai.

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