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Machine learning-based marker for coronary artery disease: derivation and validation in two longitud...

Machine learning-based marker for coronary artery disease: derivation and validation in two longitud...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10069625

Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts

About this item

Full title

Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts

Publisher

England: Elsevier Ltd

Journal title

The Lancet (British edition), 2023-01, Vol.401 (10372), p.215-225

Language

English

Formats

Publication information

Publisher

England: Elsevier Ltd

More information

Scope and Contents

Contents

Binary diagnosis of coronary artery disease does not preserve the complexity of disease or quantify its severity or its associated risk with death; hence, a quantitative marker of coronary artery disease is warranted. We evaluated a quantitative marker of coronary artery disease derived from probabilities of a machine learning model.
In this coh...

Alternative Titles

Full title

Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10069625

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10069625

Other Identifiers

ISSN

0140-6736,1474-547X

E-ISSN

1474-547X

DOI

10.1016/S0140-6736(22)02079-7

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