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).

Bibliographische Detailangaben
Veröffentlicht in:JSES international. - 2020. - 8(2024), 5 vom: 28. Sept., Seite 932-940
1. Verfasser: Agarwalla, Avinesh (VerfasserIn)
Weitere Verfasser: Lu, Yining, Reinholz, Anna K, Marigi, Erick M, Liu, Joseph N, Sanchez-Sotelo, Joaquin
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:JSES international
Schlagworte:Journal Article Complications Machine learning Open reduction internal fixation Proximal humerus fracture Readmission Reoperation Risk factors Risk stratification
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