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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

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