2024
DOI: 10.3389/fcvm.2024.1276608
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A cost-sensitive deep neural network-based prediction model for the mortality in acute myocardial infarction patients with hypertension on imbalanced data

Huilin Zheng,
Syed Waseem Abbas Sherazi,
Jong Yun Lee

Abstract: Background and objectivesHypertension is one of the most serious risk factors and the leading cause of mortality in patients with cardiovascular diseases (CVDs). It is necessary to accurately predict the mortality of patients suffering from CVDs with hypertension. Therefore, this paper proposes a novel cost-sensitive deep neural network (CSDNN)-based mortality prediction model for out-of-hospital acute myocardial infarction (AMI) patients with hypertension on imbalanced data.MethodsThe synopsis of our research… Show more

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