- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1472-6947
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Knowledge Graph Embeddings for ICU readmission prediction ; volume:23 ; number:1 ; day:19 ; month:1 ; year:2023 ; pages:1-17 ; date:12.2023
BMC medical informatics and decision making ; 23, Heft 1 (19.1.2023), 1-17, 12.2023
- Urheber
-
Carvalho, Ricardo M. S.
Oliveira, Daniela
Pesquita, Catia
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12911-022-02070-7
- URN
-
urn:nbn:de:101:1-2023032721282328889528
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:00 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
- Carvalho, Ricardo M. S.
- Oliveira, Daniela
- Pesquita, Catia
- SpringerLink (Online service)
Ähnliche Objekte (12)
Knowledge graph embeddings: link prediction and beyond
Risk prediction of ICU readmission in a mixed surgical and medical population
Prediction of unplanned 30-day readmission for ICU patients with heart failure
Multi-domain knowledge graph embeddings for gene-disease association prediction
Graph embeddings on gene ontology annotations for protein–protein interaction prediction
Foldingfree coverings and graph embeddings
Node embeddings in dynamic graphs
Leveraging literals for knowledge graph embeddings
Graph Embeddings Motivated by Greedy Routing
ICU Readmission in Cardiac Surgical Subset: A Problem Worth Pondering
Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study
Efficient embeddings of treelike graphs into hypercubes
Knowledge graph embeddings: link prediction and beyond
Risk prediction of ICU readmission in a mixed surgical and medical population
Prediction of unplanned 30-day readmission for ICU patients with heart failure
Multi-domain knowledge graph embeddings for gene-disease association prediction
Graph embeddings on gene ontology annotations for protein–protein interaction prediction
Foldingfree coverings and graph embeddings
Node embeddings in dynamic graphs
Leveraging literals for knowledge graph embeddings
Graph Embeddings Motivated by Greedy Routing
ICU Readmission in Cardiac Surgical Subset: A Problem Worth Pondering
Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study
Efficient embeddings of treelike graphs into hypercubes
Knowledge graph embeddings: link prediction and beyond
Risk prediction of ICU readmission in a mixed surgical and medical population
Prediction of unplanned 30-day readmission for ICU patients with heart failure
Multi-domain knowledge graph embeddings for gene-disease association prediction
Graph embeddings on gene ontology annotations for protein–protein interaction prediction
Foldingfree coverings and graph embeddings
Node embeddings in dynamic graphs
Leveraging literals for knowledge graph embeddings
Graph Embeddings Motivated by Greedy Routing
ICU Readmission in Cardiac Surgical Subset: A Problem Worth Pondering
Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study