Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry
Abstract
null null The objective of the current study is to compare the relative performance of decision tree, neural network, and logistic regression for predicting 30-day and 1-year mortality in a real-word, unfiltered dataset ( null null null n null = null 47 null , null 391 null null null ) of patients hospitalized with acute myocardial infarction. Area under the ROC curve (AUC) was used for evaluating performance of a learning algorithm. For 30-day...
Paper Details
Title
Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry
Published Date
Sep 1, 2019
Journal
Volume
179
Pages
1 - 7
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