Crowdsourced Health: How what you do on the internet will improve medicine

Speaker:  Elad Yom-Tov – Hoshaya, Israel
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


The majority of Internet users report that they search the web for information on their medical concerns. Data generated during this process have proven to be a fruitful source for medical research, especially in cases where most patient activity happens online, where internet data provides a more sensitive indicator than that attainable from traditional sources, and where reports from people suffer from significant reporting or association bias. 
In my talk I will give an overview of internet data that we and others have used to study health and the advantages that these data have in their representativeness and timeliness. I will discuss internet platforms where truthful information can be obtained and demonstrate how we can evaluate such truthfulness. 

I will then give several examples showing how data derived from people’s interactions with internet search engines can be used to improve medicine. The examples include screening people for serious medical conditions, estimating the effectiveness of childhood influenza vaccines, and overcoming people’s tendency to only read information congruent with their prior opinions in politics and in medicine. My presentation will discuss the ways in which these insights can be obtained and how the  information derived from these insights can be provided to people in a useful and ethical manner. 

About this Lecture

Number of Slides:  41
Duration:  50 minutes
Languages Available:  English, Hebrew
Last Updated: 

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