Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD
Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD
About this item
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Author / Creator
Publisher
United States: American Medical Association
Journal title
Language
English
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Publication information
Publisher
United States: American Medical Association
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Scope and Contents
Contents
Endovascular intervention for peripheral artery disease (PAD) carries nonnegligible perioperative risks; however, outcome prediction tools are limited.
To develop machine learning (ML) algorithms that can predict outcomes following endovascular intervention for PAD.
This prognostic study included patients who underwent endovascular interventi...
Alternative Titles
Full title
Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD
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Record Identifier
TN_cdi_proquest_miscellaneous_2957167802
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2957167802
Other Identifiers
ISSN
2574-3805
E-ISSN
2574-3805
DOI
10.1001/jamanetworkopen.2024.2350
