Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Predicting Prolonged Wound Drainage after Hemiarthroplasty for Hip Fractures: A Stacked Machine Learning Study
7
Zitationen
4
Autoren
2023
Jahr
Abstract
We found that the stacking method was superior to other methods in PWD classification. We determined that the volume of fluid collected from the drain, morbid obesity class, blood transfusion, and body mass index score were the four most important risk factors according to stacking.
Ähnliche Arbeiten
Guidance for conducting systematic scoping reviews
2015 · 7.170 Zit.
An estimate of the worldwide prevalence and disability associated with osteoporotic fractures
2006 · 4.597 Zit.
Clinician’s Guide to Prevention and Treatment of Osteoporosis
2014 · 4.025 Zit.
Incidence and Economic Burden of Osteoporosis-Related Fractures in the United States, 2005–2025
2006 · 3.997 Zit.
Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient
2016 · 3.847 Zit.