Prediction of longitudinal clinical outcomes after acute myocardial infarction using a dynamic machine learning algorithm

Prediction of longitudinal clinical outcomes after acute myocardial infarction using a dynamic machine learning algorithm

Several regression-based models for predicting outcomes after acute myocardial infarction (AMI) have been developed. However, prediction models that encompass diverse patient-related factors over time are limited. This study aimed to develop a machine learning-based model to predict longitudinal out...

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Bibliographic Details
Main Authors: Joo Hee Jeong, Kwang-Sig Lee, Seong-Mi Park, So Ree Kim, Mi-Na Kim, Shung Chull Chae, Seung-Ho Hur, In Whan Seong, Seok Kyu Oh, Tae Hoon Ahn, Myung Ho Jeong
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
body mass index
machine learning analysis
myocardial infarction
artificial intelligence
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1340022/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2024.1340022/full

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