Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Implementation of machine learning in emergency departments: A systematic review
0
Zitationen
12
Autoren
2026
Jahr
Abstract
Machine learning is widely used in emergency department research, but issues with generalizability and workflow integration limit its clinical use. Future work should improve data quality, representation, and ongoing model validation to enhance real-world utility.
Ähnliche Arbeiten
Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study
2020 · 28.965 Zit.
The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
2016 · 26.835 Zit.
APACHE II
1985 · 13.504 Zit.
Definitions for Sepsis and Organ Failure and Guidelines for the Use of Innovative Therapies in Sepsis
1992 · 13.152 Zit.
The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure
1996 · 11.408 Zit.