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Home Country Australia 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 Australia Grant Activity Type Research Discipline Allied Health Specialization Health Services/Allied Health&Scienc Academic Year 2021-2022 Dates April 2022 - July 2022 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 University of New South Wales Host Institutions Institution Saint Jude Children's Research Hospital Faculty Kiri Ness Host Department Epidemiology and Cancer Control
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 Australia Grant Activity Type Research Discipline Allied Health Specialization Health Services/Allied Health&Scienc Academic Year 2021-2022 Dates April 2022 - July 2022 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 University of New South Wales Host Institutions Institution Saint Jude Children's Research Hospital Faculty Kiri Ness Host Department Epidemiology and Cancer Control