Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Development and Evaluation of an Operative Case Length Prediction Model in Adult Surgical Patients
0
Zitationen
11
Autoren
2026
Jahr
Abstract
A machine learning model leveraging comprehensive preoperative data significantly improved surgical case length prediction compared to an embedded EHR model. Future implementation has the potential to improve OR efficiency and patient and provider satisfaction.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.396 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.729 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.270 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.702 Zit.
Artificial intelligence in healthcare: past, present and future
2017 · 4.437 Zit.