Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry

Volume: 179, Pages: 1 - 7
Published: Sep 1, 2019
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
Volume
179
Pages
1 - 7
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