Identifying clinically meaningful subgroups following open reduction and internal fixation for proximal humerus fractures a risk stratification analysis for mortality and 30-day complications using machine learning

Identifying clinically meaningful subgroups following open reduction and internal fixation for proximal humerus fractures : a risk stratification analysis for mortality and 30-day complications using machine learning

© 2024 The Author(s).

Détails bibliographiques
Publié dans:JSES international. - 2020. - 8(2024), 5 vom: 28. Sept., Seite 932-940
Auteur principal: Agarwalla, Avinesh (Auteur)
Autres auteurs: Lu, Yining, Reinholz, Anna K, Marigi, Erick M, Liu, Joseph N, Sanchez-Sotelo, Joaquin
Format: Article en ligne
Langue:English
Publié: 2024
Accès à la collection:JSES international
Sujets:Journal Article Complications Machine learning Open reduction internal fixation Proximal humerus fracture Readmission Reoperation Risk factors Risk stratification
Accès en ligne Volltext