Using Machine Learning Techniques to Predict MACE in Very Young Acute Coronary Syndrome Patients
Using Machine Learning Techniques to Predict MACE in Very Young Acute Coronary Syndrome Patients
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Coronary artery disease is a chronic disease with an increased expression in the elderly. However, different studies have shown an increased incidence in young subjects over the last decades. The prediction of major adverse cardiac events (MACE) in very young patients has a significant impact on medical decision-making following coronary angiograph...
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Full title
Using Machine Learning Techniques to Predict MACE in Very Young Acute Coronary Syndrome Patients
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TN_cdi_doaj_primary_oai_doaj_org_article_6e7eb76ce1db40e688db0de72afebe14
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6e7eb76ce1db40e688db0de72afebe14
Other Identifiers
ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics12020422
