Machine Learning for the Real-Time Assessment of Left Ventricular Ejection Fraction in Critically Ill Patients: a Bedside Evaluation by Novices and Experts in Echocardiography

AuthID
 P-00X-N8H
7
Author(s)
Varudo, R
·
Gonzalez, FA
·
Leote, J
·
Martins, C
·
Bacariza, J
·
Michard, F
Document Type
Article
Year published
2022
Published
in CRITICAL CARE, ISSN: 1364-8535
Volume: 26, Issue: 1
Indexing
Wos®
Scopus®
Crossref®10
Pubmed®
Handle®
Google Scholar®
Publication Identifiers
Pubmed: 36517906
Scopus: 2-s2.0-85144289570
Wos: WOS:000899192900002
Source Identifiers
ISSN: 1364-8535
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