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Analysis and Classification of Patients with Acute Myocardial Infarction by Using Nonlinear Mixed-Effects Modeling.

, , , , , , , , and . RTSI, page 569-573. IEEE, (2021)

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A combined simulation and machine learning approach to classify severity of infarction patients., , , , , , , , and . MetroXRAINE, page 283-288. IEEE, (2022)A model of cardiac troponin T release in patient with acute myocardial infarction., , , , , , , , and . CDC, page 435-440. IEEE, (2017)Identification of the infarct time in patients with acute myocardial infarction., , , , , , , , , and 1 other author(s). EMBC, page 1891-1894. IEEE, (2019)CBRA: Cardiac biomarkers release analyzer., , , , , , , , , and . Comput. Methods Programs Biomed., (2021)Predictive mathematical model of cardiac troponin release following acute myocardial infarction., , , , , , , , , and . ICNSC, page 643-648. IEEE, (2017)Mathematical Model of the Release of the cTnT and CK-MB cardiac biomarkers in patients with acute myocardial infarction., , , , , , , , and . ECC, page 1653-1658. IEEE, (2019)Analysis and Classification of Patients with Acute Myocardial Infarction by Using Nonlinear Mixed-Effects Modeling., , , , , , , , and . RTSI, page 569-573. IEEE, (2021)