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Using machine learning algorithms to accurately predict fitness, a modifiable cardiovascular disease risk factor among survivors of childhood cancer
Program
Fulbright Visiting Scholar Program
Program Country
Grant Activity Type
Research
Discipline
Specialization
Health Services/Allied Health&Scienc
Academic Year
Dates
-
Flex
No
Scholar type
Non-U.S. (Visiting) Scholar
Project Title
Using machine learning algorithms to accurately predict fitness, a modifiable cardiovascular disease risk factor among survivors of childhood cancer
Scholar Information
Grantee
David Mizrahi
Title
Ph.D. Candidate
Institution
Host Institutions
Institution
Faculty
Kiri Ness
Host Department
Epidemiology and Cancer Control