Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo +11 more
wiley +1 more source
Prognostic value of stress hyperglycemia ratio in patients with different plaque types with acute myocardial infarction. [PDF]
Li J +10 more
europepmc +1 more source
Deciphering the clinical implication of an obesity-related gene signature as the novel biomarker for acute myocardial infarction diagnosis. [PDF]
Dong W, Xue Z, Zhang M, Lu F, Ji S.
europepmc +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 1514-1522, April 2025.
Takamasa Iwai +4 more
wiley +1 more source
Acute myocardial infarction in a young patient with Chikungunya: a case report. [PDF]
Costa JG +6 more
europepmc +1 more source
Exploring sex differences in mortality among acute myocardial infarction. [PDF]
Cangiano L +9 more
europepmc +1 more source
Sirtuins and regulatory miRNAs as epigenetic determinants of empagliflozin-mediated recovery after acute myocardial infarction. [PDF]
Nowak-Szwed A +8 more
europepmc +1 more source
Untangling Mechanical Complications of Acute Myocardial Infarction. [PDF]
Meza-González YA +5 more
europepmc +1 more source
Microvascular obstruction in cardiac amyloidosis
European Journal of Heart Failure, EarlyView.
Lucrezia Netti +19 more
wiley +1 more source
Infarto agudo del miocardio en un recién nacido Acute myocardial infarction in a newborn
Raúl Castellanos +4 more
openalex +1 more source

