Using Social Media for Biomedical Informatics Research


Thu Oct 13th 10:00am to 11:00am PDT


Jina Huh

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In this talk, I will discuss how we can use social media as data for biomedical informatics research. I will talk about how we can use social, technical, and clinical perspectives to understand social media data and design a technology that would help people to improve health. I will give an example of the InfoMediator, which is a proposed system under development to detect when patients need clinical expertise and delivering patients with balanced clinical knowledge during their social media use. 


I am Assistant Professor in the Division of Biomedical Informatics at the University of California San Diego. My research is using socially aggregated information to help with individuals’ everyday health management. I work with online health social networks data (e.g., online health communities, videos on Youtube, images on Tumblr) to understand how social network exchanges can improve health. I use qualitative methods, social analytics, and machine learning to understand, design, implement, and evaluate online health social network activities.

I have a career grant from NIH on developing methods and systems to weave clinical expertise into peer patient conversations in online health communities. I also recently started an NSF Smart and Connected Health funded project on developing a socially shared information awareness system using acoustic sensing to help improve family routine for child obesity prevention in the Latinos community.



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