Characterizing and improving people’s search path during illness and health
"Characterizing and improving people’s search path during illness and health"
Search engines are the first internet platform that people turn to when they have a medical question. The queries people make during their inquiries can help characterize their search path in sickness and in health and to serve as an intervention point to nudge them to better health outcomes.
In my talk I will present studies where characterization of the search path enabled us to screen search engine users for different medical conditions and to understand their medical decision-making process. I will also show how simple interventions along the search pathway can steer people to better health choices in areas ranging from encouraging vaccination to selecting appropriate treatment choices for serious illnesses.
Bio: Dr. Elad Yom-Tov is a Senior Principal Researcher at Microsoft Research and an Associate Research Fellow at the Technion, Israel. Before joining Microsoft he was with Yahoo Research, IBM Research, and Rafael. Dr. Yom-Tov studied at Tel-Aviv University and the Technion. His primary research interests are in applying large-scale Machine Learning and Information Retrieval methods to internet data to improve medicine. He has published four books, over 180 papers (of which 3 were awarded prizes), and was awarded more than 30 patents. He is a Senior Member of ACM and IEEE. His latest book is “Crowdsourced Health: How What You Do on the Internet Will Improve Medicine” (MIT Press, 2016).