Computer Science and Engineering

SCH: kHealth: Semantic Multisensory Mobile Approach to Personalized Asthma Care

Asthma affects over 300 million people, claiming over 250,000 worldwide annually. Using low cost sensors and an intelligent mobile application, this unique research on personalized digital health will develop algorithms and techniques to empower patients and doctors by providing personalized, contextually-relevant, and actionable information synthesized from a comprehensive understanding of health-relevant data. The proposed research will uncover correlations among extracted sensor features, their relationship to the control and severity of asthma, and will personalize management of asthma. Kno.e.sis researchers will work with Dayton Children’s Hospital to carry out an extensive pilot with over 200 children with asthma.

Additional details are available on the project’s homepage.


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