Improving prediction of one-year mortality of acute myocardial infarction using machine learning techniques
by Mirza Touseef; Najla Raza; Adeel Zafar; Muhammad Zubair; Saad Zafar
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 15, No. 3, 2023

Abstract: The purpose of our study was to improve the prediction of one-year mortality for patients with acute myocardial infarction (AMI). We implemented and compared four classical machine learning algorithms and one deep neural network algorithm. For evaluation metrics, we used accuracy, F1-measure, precision, recall, and area under receiver operating curve (AUC). Random forest achieved the best performance based on an AUC of 0.98 with an accuracy of 92%. Results show that our model can predict one-year mortality of AMI with an improved AUC and accuracy using a minimum number of features as compared to previous related studies.

Online publication date: Thu, 04-May-2023

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