Derivation and validation of a machine learning algorithm for predicting venous thromboembolism in injured children

Presenter Information

Stephanie Papillon, Division of General, Thoracic and Minimally Invasive Surgery, St. Christopher's Hospital for Children, Philadelphia, PAFollow
Christopher Pennell, Division of General, Thoracic and Minimally Invasive Surgery, St. Christopher's Hospital for Children, Philadelphia, PA
Sahal Master, Division of General, Thoracic and Minimally Invasive Surgery, St. Christopher's Hospital for Children, Philadelphia, PA
Harsh Grewal, Division of General, Thoracic and Minimally Invasive Surgery, St. Christopher's Hospital for Children, Philadelphia, PA
Evan Turner, Drexel University College of Medicine, Philadelphia, PA
L. Grier Arthur, Division of General, Thoracic and Minimally Invasive Surgery, St. Christopher's Hospital for Children, Philadelphia, PA
Stephen Aronoff, Lewis Katz School of Medicine at Temple University; Section of Pediatric Infectious Diseases, St. Christopher's Hospital for Children, Philadelphia, PA

Presentation Type

Clinical Research

Recommended Citation

Papillon, Stephanie; Pennell, Christopher; Master, Sahal; Grewal, Harsh; Turner, Evan; Arthur, L. Grier; and Aronoff, Stephen, "Derivation and validation of a machine learning algorithm for predicting venous thromboembolism in injured children" (2022). St. Chris Research Day. 30.
https://scholarcommons.towerhealth.org/schc_researchday/2022/clinical_research/30