Proteomics-based biomarkers of plasma exosomes from patients with acute myocardial infarction. [PDF]
Wang Y, Li H, Mou W, Zhu J.
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Machine learning prediction of acute myocardial infarction incidence using regional meteorological data. [PDF]
Li C, Mu L, Zhu H, Zhai G.
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Four new markers of early thrombotic molecules and thromboelastography in prognostic evaluation of AMI patients undergoing PCI. [PDF]
Sun W +6 more
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Risk factor analysis and machine learning-based prediction model for type 4b acute myocardial infarction induced by very late stent thrombosis. [PDF]
Li X +10 more
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Establishment and validation of a risk prediction model for malignant ventricular arrhythmia in acute myocardial infarction patients based on 24-hour dynamic electrocardiogram parameters. [PDF]
Zheng J, Ge H, Chen L, Yang P.
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Clinical prognostic value of cartilage intermediate layer protein 1 (CILP-1) in elderly patients with acute myocardial infarction. [PDF]
Xiang L, Xiong L, Li Y, Chu J, Shao C.
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Elevated Red Blood Cell Distribution Width Predicts Mortality and Major Adverse Cardiovascular Events After Acute Myocardial Infarction: A Large Propensity Score-Matched Cohort Study. [PDF]
Ting KC, Liao CJ, Lee C, Tsai MJ.
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A prediction model for the risk of developing HFpEF during hospitalization in patients with acute myocardial infarction. [PDF]
Liu Z +11 more
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Development and validation of the Attitude to Mental Illness-14 (AMI-14) Scale, a brief version of the AMI-20, through a multicentric survey involving medical undergraduates. [PDF]
Gupta S +11 more
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