Development and Validation of a Machine Learning Model Predicting Arteriovenous Fistula Failure in a Large Network of Dialysis Clinics

AuthID
 P-00V-QAK
13
Author(s)
Peralta, R
·
Garbelli, M
·
Bellocchio, F
·
Ponce, P
·
Stuard, S
·
Lodigiani, M
·
Ribeiro, R
·
Nikam, M
·
Botler, M
·
Schumacher, E
·
Brancaccio, D
·
Neri, L
Document Type
Article
Year published
2021
Published
in INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, ISSN: 1661-7827
Volume: 18, Issue: 23
Indexing
Wos®
Scopus®
Pubmed®
Google Scholar®
Publication Identifiers
Pubmed: 34886080
SCOPUS: 2-s2.0-85119700526
Wos: WOS:000735643200001
Source Identifiers
ISSN: 1661-7827
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