David Mizrahi

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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
Host Institutions
Faculty
Kiri Ness
Host Department
Epidemiology and Cancer Control