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 longitudinal cohorts
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Publisher
England: Elsevier Ltd
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Language
English
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England: Elsevier Ltd
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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.
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Full title
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10069625
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10069625
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ISSN
0140-6736,1474-547X
E-ISSN
1474-547X
DOI
10.1016/S0140-6736(22)02079-7