Cluster analysis of clinical, angiographic, and laboratory parameters in patients with ST-segment el...
Cluster analysis of clinical, angiographic, and laboratory parameters in patients with ST-segment elevation myocardial infarction
About this item
Full title
Author / Creator
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
ST-segment elevation myocardial infarction (STEMI) represents the most harmful clinical manifestation of coronary artery disease. Risk assessment plays a beneficial role in determining both the treatment approach and the appropriate time for discharge. Hierarchical agglomerative clustering (HAC), a machine learning algorithm, is an innovative appro...
Alternative Titles
Full title
Cluster analysis of clinical, angiographic, and laboratory parameters in patients with ST-segment elevation myocardial infarction
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_20fc0233b944457f9505f003b4a50cea
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_20fc0233b944457f9505f003b4a50cea
Other Identifiers
ISSN
1476-511X
E-ISSN
1476-511X
DOI
10.1186/s12944-024-02128-7
