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Paper Details

Identifying Risk Factors for Complicated Post-operative Course in Tetralogy of Fallot Using a Machine Learning Approach.
Front Cardiovasc Med
8
2021
TOF, Tetralogy of Fallot, arrhythmia, children, oxygen, patient, patients, predictors, pulmonary
Author NameAffiliation
Jing HuangUniversity of Pennsylvania
Jing HuangChildren's Hospital of Philadelphia
Michael L O'ByrneChildren's Hospital of Philadelphia
Michael L O'ByrneChildren's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine
Michael L O'ByrneLeonard Davis Institute and Center for Cardiovascular Outcomes, University of Pennsylvania
Elizabeth GoldmuntzChildren's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine
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Datasets

Release 1.2