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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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IEEE/ACM CHASE is a leading international conference in the field of connected health. It aims at bringing together researchers worldwide working in the smart and connected health area to exchange innovative ideas and develop collaborations. Connected health can be defined as the use of Internet, sensing, communications and intelligent techniques in support of health related Applications, Systems and Engineering. Connected health brings together multidisciplinary technologies to provide preventive or remote treatments by utilizing digital heath information structure such as body sensor networks and intelligent techniques such as from Data to Knowledge to Decisions, while at the same time connecting patient and caregivers seamlessly in the loop of the healthcare ecosystem. Future Connected health will be realized by providing rich medical information to each individual through replacing infrequent, clinic-based measurements with unobtrusive, continuous sensing, monitoring and assessment. Connected health technologies will enable preventive health and personalized medicine and may significantly reduce healthcare costs. However, a number of challenges still need to be addressed to enable connected health worldwide.
Building upon the success of CHASE 2016 and CHASE 2017, CHASE 2018 will be held in Washington, D.C. on September 26-28, 2018.
Keynote speakers:
Dr. May Wang, Professor, Georgia Research Alliance Distinguished Cancer Scholar, Georgia Institute of Technology
Dr. Wendy Nilsen, Program Director, Smart and Connected Health, NSF; Health Scientist Administrator, NIH Office of Behavioral and Social Sciences Research (OBSSR)
