Incremental value of machine learning for risk prediction in tetralogy of Fallot
Incremental value of machine learning for risk prediction in tetralogy of Fallot
About this item
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Author / Creator
Publisher
England: BMJ Publishing Group Ltd and British Cardiovascular Society
Journal title
Language
English
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Publication information
Publisher
England: BMJ Publishing Group Ltd and British Cardiovascular Society
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More information
Scope and Contents
Contents
ObjectiveMachine learning (ML) can facilitate prediction of major adverse cardiovascular events (MACEs) in repaired tetralogy of Fallot (rTOF). We sought to determine the incremental value of ML above expert clinical judgement for risk prediction in rTOF.MethodsAdult congenital heart disease (ACHD) clinicians (≥10 years of experience) participated...
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Full title
Incremental value of machine learning for risk prediction in tetralogy of Fallot
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Record Identifier
TN_cdi_proquest_miscellaneous_2896808697
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2896808697
Other Identifiers
ISSN
1355-6037
E-ISSN
1468-201X
DOI
10.1136/heartjnl-2023-323296
