Risk prediction of ICU readmission in a mixed surgical and medical population
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2052-0492
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Risk prediction of ICU readmission in a mixed surgical and medical population ; volume:3 ; number:1 ; day:26 ; month:6 ; year:2015 ; pages:1-9 ; date:12.2015
Journal of Intensive Care ; 3, Heft 1 (26.6.2015), 1-9, 12.2015
- Urheber
-
Kareliusson, Frida
De Geer, Lina
Tibblin, Anna Oscarsson
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40560-015-0096-1
- URN
-
urn:nbn:de:101:1-2021082619423336612133
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 10:45 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Kareliusson, Frida
- De Geer, Lina
- Tibblin, Anna Oscarsson
- SpringerLink (Online service)
Ähnliche Objekte (12)
Knowledge Graph Embeddings for ICU readmission prediction
ICU Readmission in Cardiac Surgical Subset: A Problem Worth Pondering
Prediction of unplanned 30-day readmission for ICU patients with heart failure
Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study
Quality of life before surgical ICU admission
Effective hospital readmission prediction models using machine-learned features
Ventilator-associated tracheobronchitis in a surgical ICU population
Readmission to a surgical intensive care unit: incidence, outcome and risk factors
Machine learning based readmission and mortality prediction in heart failure patients
Incidence and outcome of contrast-associated acute kidney injury in a mixed medical-surgical ICU population: a retrospective study
Surgical Apgar score is strongly associated with postoperative ICU admission
Neural networks versus Logistic regression for 30 days all-cause readmission prediction
Knowledge Graph Embeddings for ICU readmission prediction
ICU Readmission in Cardiac Surgical Subset: A Problem Worth Pondering
Prediction of unplanned 30-day readmission for ICU patients with heart failure
Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study
Quality of life before surgical ICU admission
Effective hospital readmission prediction models using machine-learned features
Ventilator-associated tracheobronchitis in a surgical ICU population
Readmission to a surgical intensive care unit: incidence, outcome and risk factors
Machine learning based readmission and mortality prediction in heart failure patients
Incidence and outcome of contrast-associated acute kidney injury in a mixed medical-surgical ICU population: a retrospective study
Surgical Apgar score is strongly associated with postoperative ICU admission
Neural networks versus Logistic regression for 30 days all-cause readmission prediction
Knowledge Graph Embeddings for ICU readmission prediction
ICU Readmission in Cardiac Surgical Subset: A Problem Worth Pondering
Prediction of unplanned 30-day readmission for ICU patients with heart failure
Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study
Quality of life before surgical ICU admission
Effective hospital readmission prediction models using machine-learned features
Ventilator-associated tracheobronchitis in a surgical ICU population
Readmission to a surgical intensive care unit: incidence, outcome and risk factors
Machine learning based readmission and mortality prediction in heart failure patients
Incidence and outcome of contrast-associated acute kidney injury in a mixed medical-surgical ICU population: a retrospective study
Surgical Apgar score is strongly associated with postoperative ICU admission