Unsupervised Machine Learning with Cluster Analysis in Patients Discharged after an Acute Coronary Syndrome: Insights from a 23,270-Patient Study

Author:

Mohammadi Tanya,D'Ascenzo Fabrizio,Pepe Martino,Bonsignore Zanghì Stefano,Bernardi Marco,Spadafora Luigi,Frati Giacomo,Peruzzi Mariangela,De Ferrari Gaetano Maria,Biondi-Zoccai GiuseppeORCID

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference20 articles.

1. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013;Lancet,2013

2. Cardiovascular disease burden: Italian and global perspectives;Saglietto;Minerva Cardiol Angiol,2021

3. Myocardial infarction with and without ST-segment elevation: a contemporary reappraisal of similarities and differences;Mitsis;Curr Cardiol Rev,2021

4. Atherothrombosis in acute coronary syndromes-from mechanistic insights to targeted therapies;Khandkar;Cells,2021

5. Machine learning for cardiology;Arfat;Minerva Cardiol Angiol,2022

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