Diagnostic Model of In-Hospital Mortality in Patients with Acute ST-Segment Elevation Myocardial Infarction Used Artificial Intelligence Methods.

ABSTRACT:

Background

Preventing in-hospital mortality in patients with ST-segment elevation myocardial infarction (STEMI) is a crucial step.

Objectives

The objective of our research was to develop and externally validate the diagnostic model of in-hospital mortality in acute STEMI patients used artificial intelligence methods.

Methods

We divided nonrandomly the American population with acute STEMI into a training set, a test set, and a validation set. We converted the unbalanced data into balanced data. We used artificial intelligence methods to develop and externally validate several diagnostic models. We used confusion matrix combined with the area under the receiver operating characteristic curve (AUC) to evaluate the pros and cons of the above models.

Results

The str

SUBMITTER: Li Y 

PROVIDER: S-EPMC9159851 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature