Big Data Integration for Personalized Diagnosis of Infectious Diseases: Group A Streptococcal Pharyngitis and Influenza
Grant Amount: NIS 5 Million
About the Project
We will develop a pioneering methodology to substantially improve the diagnosis of two highly common infectious diseases: group A Streptococcal pharyngitis, and the influenza virus. Our methodology integrates big and rich data from mobile devices and medical records about three critical layers: the individual patient, the general population and the disease dynamics. Outcomes of our study can lead to a breakthrough in the guidelines for detection of these two diseases, and to the establishment of a general framework for computerized decision-support systems for primary care physicians worldwide.
Research Team
Dr. Dan Yamin
Tel Aviv University, Industrial Engineering
Dr. Erez Shmueli
Tel Aviv University, Industrial Engineering
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