0000000001012602

AUTHOR

Daniel Cieśla

showing 1 related works from this author

Is neural network better than logistic regression in death prediction in patients after ST-segment elevation myocardial infarction?

2021

Background: There is a need to develop patient classification methods to adjust post-discharge care, improving survival after ST-segment elevation myocardial infarction (STEMI). Aims: The study aimed to determine whether a neural network (NN) is better than logistic regression (LR) in mortality prediction in STEMI patients. Material and methods: The study included patients from the Polish Registry of Acute Coronary Syndromes (PL-ACS). Patients with the first anterior STEMI treated with the primary percutaneous coronary intervention (pPCI) of the left anterior descending (LAD) artery between 2009 and 2015 and discharged alive were included in the study. Patients were randomly divided into th…

medicine.medical_specialtyAcute coronary syndromeneural networkmedicine.medical_treatmentAftercareLogistic regressionSTEMIPercutaneous Coronary InterventionRisk FactorsInternal medicinemedicineHumansST segmentIn patientMyocardial infarctionReceiver operating characteristicArtificial neural networkbusiness.industryPercutaneous coronary interventionpredictionmedicine.diseasePatient DischargeLogistic ModelsTreatment Outcomemyocardial infarctionCardiologyST Elevation Myocardial InfarctionNeural Networks ComputerCardiology and Cardiovascular MedicinebusinessKardiologia Polska
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