Predicting acute kidney injury risk in acute myocardial infarction patients: An artificial intelligence model using medical information mart for intensive care databases

Overview of attention for article published in Frontiers in Cardiovascular Medicine, September 2022

Altmetric Badge

About this Attention Score

Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter: 2 X users

Citations

dimensions_citation: 14 Dimensions

Readers on

mendeley: 23 Mendeley

Summary X Dimensions citations

So far, Dimensions has found 14 publications that cite this research output.

14

The most recent citing publications are shown below. View all 14 publications that cite this research output on Dimensions.

Artificial intelligence algorithms permits rapid acute kidney injury risk classification of patients with acute myocardial infarction

Article in Heliyon (August 2024)

Predictive Performance of Machine Learning Models for Kidney Complications Following Coronary Interventions: A Systematic Review and Meta-Analysis

Preprint in Preprints.org (July 2024)

Serum Albumin-to-Creatinine Ratio: A Novel Predictor of Pulmonary Infection in Patients with ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention

Article in Journal of Atherosclerosis and Thrombosis (May 2024)

This page shows the most recent citations of this research output.

Click here to find out how to access more activity.