Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Using Machine Learning to Evaluate Attending Feedback on Resident Performance
26
Zitationen
10
Autoren
2020
Jahr
Abstract
Harnessing the potential of machine learning allows for rapid assessment of attending feedback on resident performance. Using predictive models to rapidly screen for low-quality and low-utility feedback can aid programs in improving feedback provision, both globally and by individual faculty.
Ähnliche Arbeiten
Making sense of Cronbach's alpha
2011 · 13.993 Zit.
Health professionals for a new century: transforming education to strengthen health systems in an interdependent world
2010 · 5.747 Zit.
Audit and feedback: effects on professional practice and healthcare outcomes
2012 · 5.513 Zit.
The assessment of clinical skills/competence/performance
1990 · 4.706 Zit.
Lost in knowledge translation: Time for a map?
2006 · 4.677 Zit.