Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients wit...
Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Acute kidney injury (AKI) is one of the preventable complications of percutaneous coronary intervention (PCI). This study aimed to develop machine learning (ML) models to predict AKI after PCI in patients with acute coronary syndrome (ACS).
This study was conducted at Tehran Heart Center from 2015 to 2020. Several variables were used to design f...
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Full title
Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e0a44e850cb249ad99decf21ac08c6ff
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e0a44e850cb249ad99decf21ac08c6ff
Other Identifiers
ISSN
2047-783X,0949-2321
E-ISSN
2047-783X
DOI
10.1186/s40001-024-01675-0
